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AI/ML – Investment Services

at Point72

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AI/ML – Investment Services

at Point72

Mid LevelNo visa sponsorshipData Engineering

Posted 21 hours ago

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Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

**AI/ML – Investment Services**: Leverage machine learning to drive investment strategies. Key responsibilities include developing AI models, processing large datasets, and collaborating with data scientists. Required skills: Python, TensorFlow, PyTorch, and familiarity with finance domain. Minimum 5 years of experience in AI/ML preferred.

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AI/ML – Investment Services Career
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P72 Careers - Header
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margin-top: var(--p72-space-lg); } /* ========================================================= Mobile Menu Container ========================================================= */ .c-menu-mobile { bottom: 0; height: calc(100% - var(--p72-cookie-consent-height)); overflow-y: scroll; padding: calc(100px + 1.5rem) 1.5rem 1.5rem; padding: calc(var(--p72-header-height) + var(--p72-space-md)) var(--p72-space-md) var(--p72-space-md) var(--p72-space-md); position: fixed; right: 0; top: var(--p72-cookie-consent-height) !important; transform: translate3d(100%, 0, 0); transition: all 0.6s cubic-bezier(0.65, 0, 0.35, 1); transition: all var(--p72-animation-duration-long) var(--p72-animation-timing); visibility: hidden; width: 100%; z-index: 5; z-index: var(--p72-z-index-5); background-color: var(--p72-color-background); color: var(--p72-color-content); } /* ========================================================= Mobile Menu Open State Add class c-menu-mobile-is-active to body or parent ========================================================= */ @media (max-width: 767px) { .c-menu-mobile-is-active .c-menu-mobile { transform: translateZ(0); 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AI/ML – Investment Services

Apply Now
Experience

Experienced Professionals

Location

Bengaluru, India

Focus

Data Engineering

Business

Point72

A CAREER WITH POINT72'S AI/ML – INVESTMENT SERVICES TEAM

The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.


What you’ll do

• Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows

• Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data

• Develop robust APIs and microservices to support model inference, feature serving, and downstream applications

• Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines

• Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements

• Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health

• Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions

• Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability

• Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability


What’s required

• Bachelor’s degree in computer science, software engineering, or a related technical field

• Minimum 5+ years of professional experience building backend systems and production services

• Demonstrated experience designing and operating large-scale data engineering pipelines for both batch and streaming workloads

• Demonstrated hands-on engagement with generative AI tools or development workflows, including model inference, embeddings, or model fine-tuning

• Proficiency in Python and in at least one systems language such as Java, Go, or C++

• Strong experience with cloud platforms and services for compute and storage and with containerization and orchestration technologies such as Kubernetes

• Proven experience with databases and messaging or stream-processing technologies for high-throughput workloads

• Experience designing and implementing APIs, microservices, CI/CD pipelines, automated testing, and observability tooling

• Excellent verbal and written communication skills and demonstrated ability to work effectively with cross-functional teams to deliver impactful solutions

• Commitment to the highest ethical standards


WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Health care benefits

• Maternity, Adoption & related leave policies

• Generous paternity and family care leave policies

• Employee Assistance Program & Mental wellness programs

• Transportation support

• Tuition assistance


About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com.



Apply Now

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  • Education background
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A CAREER WITH POINT72'S AI/ML – INVESTMENT SERVICES TEAM

\n

The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.


What you’ll do

\n

• Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows

• Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data

• Develop robust APIs and microservices to support model inference, feature serving, and downstream applications

• Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines

• Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements

• Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health

• Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions

• Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability

• Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability


What’s required

\n

• Bachelor’s degree in computer science, software engineering, or a related technical field

• Minimum 5+ years of professional experience building backend systems and production services

• Demonstrated experience designing and operating large-scale data engineering pipelines for both batch and streaming workloads

• Demonstrated hands-on engagement with generative AI tools or development workflows, including model inference, embeddings, or model fine-tuning

• Proficiency in Python and in at least one systems language such as Java, Go, or C++

• Strong experience with cloud platforms and services for compute and storage and with containerization and orchestration technologies such as Kubernetes

• Proven experience with databases and messaging or stream-processing technologies for high-throughput workloads

• Experience designing and implementing APIs, microservices, CI/CD pipelines, automated testing, and observability tooling

• Excellent verbal and written communication skills and demonstrated ability to work effectively with cross-functional teams to deliver impactful solutions

• Commitment to the highest ethical standards


WE TAKE CARE OF OUR PEOPLE

\n

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Health care benefits

• Maternity, Adoption & related leave policies

• Generous paternity and family care leave policies

• Employee Assistance Program & Mental wellness programs

• Transportation support

• Tuition assistance


About Point72

\n

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com.


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When you work here, we provide:\u003C/p\u003E\u003Cp\u003E• Health care benefits\u003C/p\u003E\u003Cp\u003E• Maternity, Adoption & related leave policies\u003C/p\u003E\u003Cp\u003E• Generous paternity and family care leave policies\u003C/p\u003E\u003Cp\u003E• Employee Assistance Program & Mental wellness programs\u003C/p\u003E\u003Cp\u003E• Transportation support\u003C/p\u003E\u003Cp\u003E• Tuition assistance\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry\'s brightest talent by cultivating an investor-led culture and committing to our people\'s long-term growth. 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AI/ML – Investment Services

at Point72

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AI/ML – Investment Services

at Point72

Mid LevelNo visa sponsorshipData Engineering

Posted 21 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

**AI/ML – Investment Services**: Leverage machine learning to drive investment strategies. Key responsibilities include developing AI models, processing large datasets, and collaborating with data scientists. Required skills: Python, TensorFlow, PyTorch, and familiarity with finance domain. Minimum 5 years of experience in AI/ML preferred.

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AI/ML – Investment Services Career
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P72 Careers - Header
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color: #18181a !important; } .c-menu-mega-careers ul a:focus, .c-menu-mega-careers ul a:hover { color: #b08725 !important; color: var(--p72-color-content-stronger) !important; } li.c-menu-mobile__menu-item > a.c-menu-mobile__link, li.c-menu-mobile__menu-item > a.c-menu-mobile__link span { color: #18181a !important; } li.c-menu-mobile__menu-item > a.c-menu-mobile__link:hover, li.c-menu-mobile__menu-item > a.c-menu-mobile__link:hover span { color: var(--p72-color-content-stronger, #b08725) !important; } li.c-menu-mobile__menu-item > a.c-menu-mobile__link, li.c-menu-mobile__menu-item > a.c-menu-mobile__link span { color: #18181a !important; } li.o-icon > a.o-icon:hover, li.o-icon > a.o-icon:hover span { color: var(--p72-color-content-stronger, #b08725) !important; } .o-button--outlined { background-color: transparent; color: black; border: 1px solid black; transition: all 0.3s ease; } .o-button--outlined:focus, .o-button--outlined:hover { background-color: var(--p72-color-button-background, #b08725); border-color: var(--p72-color-button-background, #b08725); color: var(--p72-color-button-text, #f5f4ee); } .c-menu-mega { opacity: 0; visibility: hidden; transform: translateY(5px); transition: opacity 0.15s ease-out, transform 0.15s ease-out; will-change: opacity, transform; } body.header-scrolled .c-header { top: var(--p72-cookie-consent-height, 0px) !important; } body.header-scrolled .c-menu-mobile { /*top: 0 !important;*/ } /* Header common style */ .c-header, .c-header.l-wrap, .c-header .l-wrap { transition: none !important; will-change: auto; } /* Optional: reset header when scrolled */ body.header-scrolled .c-header, body.header-scrolled .c-header.l-wrap, body.header-scrolled .c-header .l-wrap { top: 0 !important; } @media only screen and (max-width:768px) { .c-cookie-consent__container { padding: 8px 10px !important; } body.header-scrolled .c-header, body.header-scrolled .c-header.l-wrap { padding-top: 13px; !important; } body.header-scrolled .c-header .l-wrap { padding-top: 13px; !important; } .c-cookie-consent__content p,.c-cookie-consent__content a { max-width: 100% !important; font-family:"Aptos", sans-serif; font-size:14px !important; line-height:18.2px !important; } } /* ========================================================= Combined CSS: c-menu-mobile + u-hide-after--md + u-spacing--lg Includes required variables + hamburger related CSS ========================================================= */ /* ========================================================= Required Variables ========================================================= */ :root { --p72-header-height: 100px; --p72-space-xxs: 0.25rem; --p72-space-xs: 0.5rem; --p72-space-sm: 0.75rem; --p72-space: 1rem; --p72-space-md: 1.5rem; --p72-space-lg: 2rem; --p72-animation-duration: 0.4s; --p72-animation-duration-long: 0.6s; --p72-animation-timing: cubic-bezier(0.65, 0, 0.35, 1); --p72-z-index-5: 5; --p72-border-width: 1px; --p72-font-family-secondary: Aptos, sans-serif; --p72-font-weight-bold: 700; --p72-font-size-heading-xs: 1.25rem; --p72-line-height-tight: 1.1; --p72-letter-spacing-wide: 0.06em; --p72-typography-heading-xs: var(--p72-font-weight-bold) var(--p72-font-size-heading-xs) / var(--p72-line-height-tight) var(--p72-font-family-secondary); --p72-color-brand-cream: #f5f4ee; --p72-color-brand-gold: #b08725; --p72-color-brand-slate: #505a6b; --p72-color-brand-charcoal: #18181a; --p72-color-background: var(--p72-color-brand-charcoal); --p72-color-content: var(--p72-color-brand-cream); --p72-color-content-stronger: var(--p72-color-brand-gold); --p72-color-border: var(--p72-color-brand-slate); --p72-cookie-consent-height: 0px; --p72-icon-size-sm: 0.9375rem; } /* ========================================================= Utility: u-hide-after--md Hidden after medium breakpoint ========================================================= */ @media (min-width: 769px) { .u-hide-after--md { display: none !important; } } /* ========================================================= Utility: u-spacing--lg Adds large vertical spacing between direct children ========================================================= */ .u-spacing--lg > * + * { margin-top: 2rem; margin-top: var(--p72-space-lg); } /* ========================================================= Mobile Menu Container ========================================================= */ .c-menu-mobile { bottom: 0; height: calc(100% - var(--p72-cookie-consent-height)); overflow-y: scroll; padding: calc(100px + 1.5rem) 1.5rem 1.5rem; padding: calc(var(--p72-header-height) + var(--p72-space-md)) var(--p72-space-md) var(--p72-space-md) var(--p72-space-md); position: fixed; right: 0; top: var(--p72-cookie-consent-height) !important; transform: translate3d(100%, 0, 0); transition: all 0.6s cubic-bezier(0.65, 0, 0.35, 1); transition: all var(--p72-animation-duration-long) var(--p72-animation-timing); visibility: hidden; width: 100%; z-index: 5; z-index: var(--p72-z-index-5); background-color: var(--p72-color-background); color: var(--p72-color-content); } /* ========================================================= Mobile Menu Open State Add class c-menu-mobile-is-active to body or parent ========================================================= */ @media (max-width: 767px) { .c-menu-mobile-is-active .c-menu-mobile { transform: translateZ(0); visibility: visible; } body.c-menu-mobile-is-active { overflow: hidden; } } /* ========================================================= Mobile Menu Item ========================================================= */ .c-menu-mobile__menu-item { border-bottom: 1px solid #505a6b; border-bottom: var(--p72-border-width) solid var(--p72-color-border); display: flex; flex-flow: column nowrap; gap: 0.25rem; gap: var(--p72-space-xxs); overflow: hidden; width: 100%; } /* ========================================================= Mobile Menu Link / Button ========================================================= */ .c-menu-mobile__link { align-items: center; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; display: flex; font: 700 1.25rem/1.1 Aptos, sans-serif; font: var(--p72-typography-heading-xs); gap: 0.25rem; gap: var(--p72-space-xxs); justify-content: space-between; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); padding: 0.75rem 0; padding: var(--p72-space-sm) 0; text-transform: uppercase; transition: color 0.4s cubic-bezier(0.65, 0, 0.35, 1); transition: color var(--p72-animation-duration) var(--p72-animation-timing); width: 100%; text-align: left; } @media (max-width: 768px) { .c-menu-mobile__link { font-size: 1.0625rem; } } .c-menu-mobile__link:focus, .c-menu-mobile__link:hover { color: #b08725; color: var(--p72-color-content-stronger); } .c-menu-mobile__link svg { height: var(--p72-icon-size-sm); min-width: var(--p72-icon-size-sm); width: var(--p72-icon-size-sm); } /* ========================================================= Mobile Sub Menu ========================================================= */ .c-menu-mobile--sub-menu { display: none; } .c-menu-mobile--sub-menu ul { display: flex; flex-direction: column; gap: 0.25rem; gap: var(--p72-space-xxs); margin-bottom: 0.75rem; margin-bottom: var(--p72-space-sm); list-style: none; padding: 0; } .c-menu-mobile--sub-menu a { color: #f5f4ee; color: var(--p72-color-content); text-decoration: none; } @media (max-width: 768px) { .c-menu-mobile--sub-menu a { font-size: 0.875rem; } } .c-menu-mobile--sub-menu a:focus, .c-menu-mobile--sub-menu a:hover { color: #b08725; color: var(--p72-color-content-stronger); } /* Show submenu when menu item is active */ .c-menu-mobile__menu-item.this-is-active .c-menu-mobile--sub-menu { display: block; } /* ========================================================= Header Style When Mobile Menu Is Active ========================================================= */ .c-menu-mobile-is-active .c-header { backdrop-filter: blur(0); border-color: #505a6b; border-color: var(--p72-color-border); } /* ========================================================= Hamburger Button Base ========================================================= */ .o-button-hamburger { align-items: center; -webkit-appearance: none; -moz-appearance: none; appearance: none; background: transparent; border: none; color: #f5f4ee; color: var(--p72-color-content); cursor: pointer; display: flex; height: 50px; padding: 0; --p72-hamburger-line-height: 1px; --p72-hamburger-line-spacing: 6px; --p72-hamburger-line-width: 25px; --p72-hamburger-lines-total-height: calc( var(--p72-hamburger-line-spacing) * 2 + var(--p72-hamburger-line-height) * 3 ); } .o-button-hamburger__label { font: 700 1rem/1.1 Aptos, sans-serif; letter-spacing: 0.06em; letter-spacing: var(--p72-letter-spacing-wide); text-transform: uppercase; } .o-button-hamburger__lines { height: var(--p72-hamburger-lines-total-height); margin-left: 0.25rem; margin-left: var(--p72-space-xxs); position: relative; transition: transform 0.5s ease-in-out; width: var(--p72-hamburger-line-width); } .o-button-hamburger__line { background-color: currentcolor; height: var(--p72-hamburger-line-height); left: 0; position: absolute; transition: transform 0.3s ease, top 0.3s ease, opacity 0.3s ease; width: 100%; } .o-button-hamburger__line:first-child { top: 0; } .o-button-hamburger__line:nth-child(2) { top: calc( var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height) ); } .o-button-hamburger__line:nth-child(3) { top: calc( (var(--p72-hamburger-line-spacing) + var(--p72-hamburger-line-height)) * 2 ); } /* ========================================================= Hamburger Active Animation Triggered by .c-menu-mobile-is-active ========================================================= */ .c-menu-mobile-is-active .o-button-hamburger__line:first-child { top: 50%; transform: rotate(45deg); } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(2) { opacity: 0; } .c-menu-mobile-is-active .o-button-hamburger__line:nth-child(3) { top: 50%; transform: rotate(-45deg); } /** * Extracted scroll-related functionality from the bundled app. * * Requires: * - GSAP * - ScrollTrigger * - Optional: jQuery if using the jQuery-based class add below * * If you are using ES modules: * * import gsap from "gsap"; * import ScrollTrigger from "gsap/ScrollTrigger"; * * gsap.registerPlugin(ScrollTrigger); */ /* ========================================================================== Cookie consent scroll/resize height tracking ========================================================================== */ const COOKIE_NOTICE_KEY = "p72_cookie_notice_dismissed"; const cookieConsentScroll = { _raf: null, _scrollBound: false, _onScroll: null, isDismissed() { try { return sessionStorage.getItem(COOKIE_NOTICE_KEY) === "1"; } catch (error) { return false; } }, setDismissed() { try { sessionStorage.setItem(COOKIE_NOTICE_KEY, "1"); } catch (error) {} }, showBanner() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { banner.classList.remove("is-hidden"); banner.classList.add("is-visible"); this.updateHeightVar(); this.bindScroll(); } }, hideBanner() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { banner.classList.remove("is-visible"); banner.classList.add("is-hidden"); this.unbindScroll(); this.updateHeightVar(); } }, updateHeightVar() { const banner = document.querySelector(".js-cookie-consent"); let height = 0; if (banner && !banner.classList.contains("is-hidden")) { const rect = banner.getBoundingClientRect(); height = Math.min( Math.max(rect.bottom, 0), banner.offsetHeight ); } document.documentElement.style.setProperty( "--p72-cookie-consent-height", `${height}px` ); }, onScroll() { if (!this._raf) { this._raf = window.requestAnimationFrame(() => { this._raf = null; this.updateHeightVar(); }); } }, bindScroll() { if (!this._scrollBound) { this._scrollBound = true; this._onScroll = this.onScroll.bind(this); window.addEventListener("scroll", this._onScroll, { passive: true, }); window.addEventListener("resize", this._onScroll, { passive: true, }); } }, unbindScroll() { if (this._scrollBound) { this._scrollBound = false; window.removeEventListener("scroll", this._onScroll); window.removeEventListener("resize", this._onScroll); } }, observeHeight() { const banner = document.querySelector(".js-cookie-consent"); if (!banner || typeof ResizeObserver === "undefined") return; new ResizeObserver(() => this.updateHeightVar()).observe(banner); }, handleClose() { this.setDismissed(); this.hideBanner(); }, init() { const banner = document.querySelector(".js-cookie-consent"); if (banner) { if (this.isDismissed()) { this.updateHeightVar(); } else { this.showBanner(); } this.observeHeight(); } else { document.documentElement.style.setProperty( "--p72-cookie-consent-height", "0px" ); } }, }; /* ========================================================================== Smooth anchor scrolling with header offset ========================================================================== */ function getAnchorTarget(hash) { if (!hash || hash === "#") return null; const id = hash.startsWith("#") ? hash.substring(1) : hash; let target = document.getElementById(id); if (!target) { try { target = document.querySelector(hash); } catch (error) { return null; } } return target; } function scrollToElementWithHeaderOffset(element) { const headerHeight = parseInt( getComputedStyle(document.documentElement) .getPropertyValue("--p72-header-height") ) || 0; const top = element.getBoundingClientRect().top + window.pageYOffset - headerHeight; window.scrollTo({ top, behavior: "smooth", }); } function initSmoothAnchorScrolling() { document.addEventListener("click", function (event) { const link = event.target.closest( 'a[href^="#"]:not([href="#"])' ); if (!link) return; const href = link.getAttribute("href"); const target = getAnchorTarget(href); if (target) { event.preventDefault(); scrollToElementWithHeaderOffset(target); if (history.pushState) { history.pushState(null, null, href); } } }); if (window.location.hash) { setTimeout(() => { const target = getAnchorTarget(window.location.hash); if (target) { scrollToElementWithHeaderOffset(target); } }, 100); } } /* ========================================================================== GSAP ScrollTrigger animations ========================================================================== */ function initGsapScrollAnimations() { if (typeof gsap === "undefined" || typeof ScrollTrigger === "undefined") { console.warn("GSAP or ScrollTrigger is not available."); return; } gsap.registerPlugin(ScrollTrigger); document.querySelectorAll(".js-gsap-trigger").forEach((trigger) => { /** * Fade in on scroll */ const fadeItems = trigger.querySelectorAll(".js-gsap-fade-in"); if (fadeItems.length > 0) { fadeItems.forEach((item, index) => { gsap.to(item, { opacity: 1, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, }); }); } /** * Scale in on scroll */ const scaleItems = trigger.querySelectorAll(".js-gsap-scale-in"); if (scaleItems.length > 0) { scaleItems.forEach((item, index) => { gsap.to(item, { scale: 1, opacity: 1, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, transformOrigin: "center center", }); }); } /** * Slide up on scroll */ const slideUpItems = trigger.querySelectorAll(".js-gsap-slide-in-up"); if (slideUpItems.length > 0) { slideUpItems.forEach((item, index) => { gsap.to(item, { opacity: 1, y: 0, duration: 0.8, ease: "power1.in", scrollTrigger: item, delay: 0.1 * index, }); }); } /** * Card entrance animation * * Note: * In the original bundle this is inside `.js-gsap-trigger`, * but it is not actually tied to ScrollTrigger. It runs immediately. */ const cards = trigger.querySelectorAll(".js-card-animate"); if (cards.length > 0) { console.log("Found cards to animate:", cards.length); gsap.set(cards, { opacity: 0, y: 12, filter: "blur(0.5px)", clearProps: "none", }); gsap.to(cards, { opacity: 1, y: 0, filter: "blur(0px)", duration: 0.3, ease: "power2.out", stagger: 0.03, delay: 0.05, }); } }); /** * Generic scroll class trigger */ gsap.utils.toArray(".u-scroll-animation").forEach((element) => { ScrollTrigger.create({ trigger: element, start: "top 90%", onEnter: () => { element.classList.add("u-scroll-animate"); }, }); }); } /* ========================================================================== Load-more card animation ========================================================================== */ function initLoadMoreScrollRelatedAnimation() { if (typeof jQuery === "undefined") { console.warn("jQuery is not available."); return; } if (typeof gsap === "undefined") { console.warn("GSAP is not available."); return; } const $ = jQuery; $(".js-button-load-more").on("click", () => { const hiddenItems = $(".js-filter-item.u-display--none").not(".ft-hidden"); const itemsToShow = hiddenItems.slice(0, 8); if (itemsToShow.length > 0) { const animatedCards = itemsToShow.find(".js-card-animate").get(); if (animatedCards.length > 0) { gsap.set(animatedCards, { opacity: 0, y: 12, filter: "blur(0.5px)", }); } itemsToShow.removeClass("u-display--none"); const filterContainer = $(".js-filter-container"); try { if (filterContainer.data("isotope")) { filterContainer.isotope("layout"); } } catch (error) {} if (animatedCards.length > 0) { gsap.to(animatedCards, { opacity: 1, y: 0, filter: "blur(0px)", duration: 0.4, ease: "power2.out", stagger: 0.04, }); } $(".js-button-load-more") .blur() .removeClass("active focus"); if (hiddenItems.length <= 8) { $(".js-button-load-more").hide(); } } }); } /* ========================================================================== Optional: Swiper timeline with horizontal scroll/drag behavior ========================================================================== */ /** * The bundle initializes a horizontal Swiper timeline. * * Requires Swiper and Navigation module. * * In the original minified code: * - fl = Swiper * - ml = Navigation module */ function initTimelineSwiper() { if (typeof Swiper === "undefined") { console.warn("Swiper is not available."); return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); new Swiper(".js-timeline", { slidesPerView: 1, spaceBetween: "-10%", breakpoints: { 640: { slidesPerView: 2, }, 768: { slidesPerView: 3, }, 1024: { slidesPerView: 4, }, 1200: { slidesPerView: 5, }, }, direction: "horizontal", freeMode: true, navigation: { nextEl: ".swiper-button-next", prevEl: ".swiper-button-prev", }, }); } /* ========================================================================== Optional: Posts slider horizontal drag/scroll behavior ========================================================================== */ class PostsSlider { constructor() { this.sliders = document.querySelectorAll(".js-posts-slider"); this.swiperInstances = []; this.init(); } init() { if (!this.sliders.length) return; if (typeof Swiper === "undefined") { console.warn("Swiper is not available."); return; } // If using Swiper modules globally, adjust as needed. // Swiper.use([Navigation]); this.sliders.forEach((slider) => { const container = slider.querySelector(".js-posts-slider-container"); if (!container) return; const prevButton = slider.querySelector(".js-posts-slider-prev"); const nextButton = slider.querySelector(".js-posts-slider-next"); const swiper = new Swiper(container, { slidesPerView: "auto", spaceBetween: 0, grabCursor: true, watchSlidesProgress: true, wrapperClass: "js-posts-slider-wrapper", slideClass: "js-posts-slider-card", navigation: { nextEl: nextButton, prevEl: prevButton, }, on: { init: function () { if (prevButton) { prevButton.classList.add("swiper-button-disabled"); prevButton.setAttribute("disabled", "disabled"); } }, slideChange: function () { if (prevButton) { if (this.isBeginning) { prevButton.classList.add("swiper-button-disabled"); prevButton.setAttribute("disabled", "disabled"); } else { prevButton.classList.remove("swiper-button-disabled"); prevButton.removeAttribute("disabled"); } } if (nextButton) { if (this.isEnd) { nextButton.classList.add("swiper-button-disabled"); nextButton.setAttribute("disabled", "disabled"); } else { nextButton.classList.remove("swiper-button-disabled"); nextButton.removeAttribute("disabled"); } } }, }, }); this.swiperInstances.push(swiper); }); } } /* ========================================================================== Main initializer ========================================================================== */ function initExtractedScrollFunctionality() { cookieConsentScroll.init(); initSmoothAnchorScrolling(); initGsapScrollAnimations(); initLoadMoreScrollRelatedAnimation(); initTimelineSwiper(); new PostsSlider(); } /* ========================================================================== DOM ready ========================================================================== */ document.addEventListener("DOMContentLoaded", () => { initExtractedScrollFunctionality(); });

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AI/ML – Investment Services

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Experience

Experienced Professionals

Location

Bengaluru, India

Focus

Data Engineering

Business

Point72

A CAREER WITH POINT72'S AI/ML – INVESTMENT SERVICES TEAM

The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.


What you’ll do

• Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows

• Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data

• Develop robust APIs and microservices to support model inference, feature serving, and downstream applications

• Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines

• Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements

• Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health

• Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions

• Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability

• Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability


What’s required

• Bachelor’s degree in computer science, software engineering, or a related technical field

• Minimum 5+ years of professional experience building backend systems and production services

• Demonstrated experience designing and operating large-scale data engineering pipelines for both batch and streaming workloads

• Demonstrated hands-on engagement with generative AI tools or development workflows, including model inference, embeddings, or model fine-tuning

• Proficiency in Python and in at least one systems language such as Java, Go, or C++

• Strong experience with cloud platforms and services for compute and storage and with containerization and orchestration technologies such as Kubernetes

• Proven experience with databases and messaging or stream-processing technologies for high-throughput workloads

• Experience designing and implementing APIs, microservices, CI/CD pipelines, automated testing, and observability tooling

• Excellent verbal and written communication skills and demonstrated ability to work effectively with cross-functional teams to deliver impactful solutions

• Commitment to the highest ethical standards


WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Health care benefits

• Maternity, Adoption & related leave policies

• Generous paternity and family care leave policies

• Employee Assistance Program & Mental wellness programs

• Transportation support

• Tuition assistance


About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com.



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A CAREER WITH POINT72'S AI/ML – INVESTMENT SERVICES TEAM

\n

The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.


What you’ll do

\n

• Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows

• Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data

• Develop robust APIs and microservices to support model inference, feature serving, and downstream applications

• Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines

• Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements

• Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health

• Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions

• Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability

• Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability


What’s required

\n

• Bachelor’s degree in computer science, software engineering, or a related technical field

• Minimum 5+ years of professional experience building backend systems and production services

• Demonstrated experience designing and operating large-scale data engineering pipelines for both batch and streaming workloads

• Demonstrated hands-on engagement with generative AI tools or development workflows, including model inference, embeddings, or model fine-tuning

• Proficiency in Python and in at least one systems language such as Java, Go, or C++

• Strong experience with cloud platforms and services for compute and storage and with containerization and orchestration technologies such as Kubernetes

• Proven experience with databases and messaging or stream-processing technologies for high-throughput workloads

• Experience designing and implementing APIs, microservices, CI/CD pipelines, automated testing, and observability tooling

• Excellent verbal and written communication skills and demonstrated ability to work effectively with cross-functional teams to deliver impactful solutions

• Commitment to the highest ethical standards


WE TAKE CARE OF OUR PEOPLE

\n

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Health care benefits

• Maternity, Adoption & related leave policies

• Generous paternity and family care leave policies

• Employee Assistance Program & Mental wellness programs

• Transportation support

• Tuition assistance


About Point72

\n

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com.


\n
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When you work here, we provide:\u003C/p\u003E\u003Cp\u003E• Health care benefits\u003C/p\u003E\u003Cp\u003E• Maternity, Adoption & related leave policies\u003C/p\u003E\u003Cp\u003E• Generous paternity and family care leave policies\u003C/p\u003E\u003Cp\u003E• Employee Assistance Program & Mental wellness programs\u003C/p\u003E\u003Cp\u003E• Transportation support\u003C/p\u003E\u003Cp\u003E• Tuition assistance\u003C/p\u003E\u003Cbr\u003E\u003Ch3\u003EAbout Point72\u003C/h3\u003E\\n\u003Cp\u003EPoint72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry\'s brightest talent by cultivating an investor-led culture and committing to our people\'s long-term growth. 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