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{ "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-01-27", "description": "\u003Cp\u003EOur Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, government operations modernization, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey\u2014before, during, and after any major transformational projects or transactions. \u003C\/p\u003E\u003Cp\u003EWork You\u2019ll Do \u003C\/p\u003E\u003Cp\u003EOur team is looking for a detail-oriented MLOps Engineer to design, build, and maintain scalable machine learning operations infrastructure and end-to-end data pipelines in cloud environments. \u003C\/p\u003E\u003Cp\u003EKey Responsibilities: \u003C\/p\u003E\u003Cp\u003E\u2022 Design and implement configurable, scalable, flexible, and portable end-to-end ML pipelines within cloud environments \u003C\/p\u003E\u003Cp\u003E\u2022 Develop and maintain robust data engineering solutions using advanced Python programming \u003C\/p\u003E\u003Cp\u003E\u2022 Create and maintain comprehensive documentation for workflows, processes, and best practices across data engineering, data management, and solution architecture \u003C\/p\u003E\u003Cp\u003E\u2022 Manage code repositories and implement version control strategies using Git and GitHub \u003C\/p\u003E\u003Cp\u003E\u2022 Collaborate with cross-functional teams including analysts, data scientists, and business stakeholders to deliver actionable insights \u003C\/p\u003E\u003Cp\u003E\u2022 Translate technical requirements into functional specifications and vice versa for diverse stakeholder groups \u003C\/p\u003E\u003Cp\u003E\u2022 Drive solutions independently from concept through implementation and deployment \u003C\/p\u003E\u003Cp\u003EThe Team \u003C\/p\u003E\u003Cp\u003EDeloitte\u2019s Government & Public Services (GPS) practice \u2013 our people, ideas, technology and outcomes \u2013 is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. \u003C\/p\u003E\u003Cp\u003EOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. \u003C\/p\u003E\u003Cp\u003EThe Prism Products portfolio is a group of AI-powered population insight solutions, including HealthPrism, PeoplePrism, Candidate360, and GivePrism, that enable cross-sector clients to better understand and tailor services to the populations they serve. \u003C\/p\u003E\u003Cp\u003EQualifications \u003C\/p\u003E\u003Cp\u003ERequired: \u003C\/p\u003E\u003Cp\u003E\u2022\tBachelor\u2019s degree \u003C\/p\u003E\u003Cp\u003E\u2022\tMust be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future \u003C\/p\u003E\u003Cp\u003E\u2022\t2+ years of demonstrated ability to build production-grade data engineering solutions \u003C\/p\u003E\u003Cp\u003E\u2022\tIntermediate to advanced proficiency in Python and SQL \u003C\/p\u003E\u003Cp\u003E\u2022\tExperience with Vertex AI or MLFLow \u003C\/p\u003E\u003Cp\u003EPreferred: \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with Google Cloud Platform services including: Pub\/Sub, Cloud Run, Cloud Build, Google Cloud Storage (GCS), BigQuery, Artifact Registry, Feature Store \u003C\/p\u003E\u003Cp\u003E\u2022 Proficiency with containerization technologies (Docker, Kubernetes, GKE) \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with Spark-based technologies (PySpark, Dataproc, DataFlow) \u003C\/p\u003E\u003Cp\u003E\u2022 Hands-on experience with Vertex AI Platform and Vertex AI Pipelines \u003C\/p\u003E\u003Cp\u003E\u2022 Familiarity with Agile methodologies \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with project management and collaboration tools (Jira, Confluence) \u003C\/p\u003E\u003Cp\u003E\u2022 Knowledge of Snowflake data platform \u003C\/p\u003E\u003Cp\u003EInformation for applicants with a need for accommodation: https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html \u003C\/p\u003E\u003Cbr\u003E", "employmentType": [""], "hiringOrganization" : { "@type": "Organization", "name": "Deloitte US", "sameAs": null }, "identifier": { "name": 322476, "value": 322476, "@type": "PropertyValue" }, "jobLocation" : { "@type": "Place", "address": { "streetAddress": "", "addressLocality": "", "addressRegion": null, "postalCode": "", "addressCountry": null, "@type": "PostalAddress" } }, "educationRequirements": "Bachelor's Degree", "experienceRequirements": "\u003Cp\u003EOur Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, government operations modernization, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey\u2014before, during, and after any major transformational projects or transactions. \u003C\/p\u003E\u003Cp\u003EWork You\u2019ll Do \u003C\/p\u003E\u003Cp\u003EOur team is looking for a detail-oriented MLOps Engineer to design, build, and maintain scalable machine learning operations infrastructure and end-to-end data pipelines in cloud environments. \u003C\/p\u003E\u003Cp\u003EKey Responsibilities: \u003C\/p\u003E\u003Cp\u003E\u2022 Design and implement configurable, scalable, flexible, and portable end-to-end ML pipelines within cloud environments \u003C\/p\u003E\u003Cp\u003E\u2022 Develop and maintain robust data engineering solutions using advanced Python programming \u003C\/p\u003E\u003Cp\u003E\u2022 Create and maintain comprehensive documentation for workflows, processes, and best practices across data engineering, data management, and solution architecture \u003C\/p\u003E\u003Cp\u003E\u2022 Manage code repositories and implement version control strategies using Git and GitHub \u003C\/p\u003E\u003Cp\u003E\u2022 Collaborate with cross-functional teams including analysts, data scientists, and business stakeholders to deliver actionable insights \u003C\/p\u003E\u003Cp\u003E\u2022 Translate technical requirements into functional specifications and vice versa for diverse stakeholder groups \u003C\/p\u003E\u003Cp\u003E\u2022 Drive solutions independently from concept through implementation and deployment \u003C\/p\u003E\u003Cp\u003EThe Team \u003C\/p\u003E\u003Cp\u003EDeloitte\u2019s Government & Public Services (GPS) practice \u2013 our people, ideas, technology and outcomes \u2013 is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. \u003C\/p\u003E\u003Cp\u003EOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. \u003C\/p\u003E\u003Cp\u003EThe Prism Products portfolio is a group of AI-powered population insight solutions, including HealthPrism, PeoplePrism, Candidate360, and GivePrism, that enable cross-sector clients to better understand and tailor services to the populations they serve. \u003C\/p\u003E\u003Cp\u003EQualifications \u003C\/p\u003E\u003Cp\u003ERequired: \u003C\/p\u003E\u003Cp\u003E\u2022\tBachelor\u2019s degree \u003C\/p\u003E\u003Cp\u003E\u2022\tMust be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future \u003C\/p\u003E\u003Cp\u003E\u2022\t2+ years of demonstrated ability to build production-grade data engineering solutions \u003C\/p\u003E\u003Cp\u003E\u2022\tIntermediate to advanced proficiency in Python and SQL \u003C\/p\u003E\u003Cp\u003E\u2022\tExperience with Vertex AI or MLFLow \u003C\/p\u003E\u003Cp\u003EPreferred: \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with Google Cloud Platform services including: Pub\/Sub, Cloud Run, Cloud Build, Google Cloud Storage (GCS), BigQuery, Artifact Registry, Feature Store \u003C\/p\u003E\u003Cp\u003E\u2022 Proficiency with containerization technologies (Docker, Kubernetes, GKE) \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with Spark-based technologies (PySpark, Dataproc, DataFlow) \u003C\/p\u003E\u003Cp\u003E\u2022 Hands-on experience with Vertex AI Platform and Vertex AI Pipelines \u003C\/p\u003E\u003Cp\u003E\u2022 Familiarity with Agile methodologies \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with project management and collaboration tools (Jira, Confluence) \u003C\/p\u003E\u003Cp\u003E\u2022 Knowledge of Snowflake data platform \u003C\/p\u003E\u003Cp\u003EInformation for applicants with a need for accommodation: https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html \u003C\/p\u003E\u003Cbr\u003E", "industry": "", "occupationalCategory": "", "qualifications": "\u003Cp\u003EOur Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, government operations modernization, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey\u2014before, during, and after any major transformational projects or transactions. \u003C\/p\u003E\u003Cp\u003EWork You\u2019ll Do \u003C\/p\u003E\u003Cp\u003EOur team is looking for a detail-oriented MLOps Engineer to design, build, and maintain scalable machine learning operations infrastructure and end-to-end data pipelines in cloud environments. \u003C\/p\u003E\u003Cp\u003EKey Responsibilities: \u003C\/p\u003E\u003Cp\u003E\u2022 Design and implement configurable, scalable, flexible, and portable end-to-end ML pipelines within cloud environments \u003C\/p\u003E\u003Cp\u003E\u2022 Develop and maintain robust data engineering solutions using advanced Python programming \u003C\/p\u003E\u003Cp\u003E\u2022 Create and maintain comprehensive documentation for workflows, processes, and best practices across data engineering, data management, and solution architecture \u003C\/p\u003E\u003Cp\u003E\u2022 Manage code repositories and implement version control strategies using Git and GitHub \u003C\/p\u003E\u003Cp\u003E\u2022 Collaborate with cross-functional teams including analysts, data scientists, and business stakeholders to deliver actionable insights \u003C\/p\u003E\u003Cp\u003E\u2022 Translate technical requirements into functional specifications and vice versa for diverse stakeholder groups \u003C\/p\u003E\u003Cp\u003E\u2022 Drive solutions independently from concept through implementation and deployment \u003C\/p\u003E\u003Cp\u003EThe Team \u003C\/p\u003E\u003Cp\u003EDeloitte\u2019s Government & Public Services (GPS) practice \u2013 our people, ideas, technology and outcomes \u2013 is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. \u003C\/p\u003E\u003Cp\u003EOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. \u003C\/p\u003E\u003Cp\u003EThe Prism Products portfolio is a group of AI-powered population insight solutions, including HealthPrism, PeoplePrism, Candidate360, and GivePrism, that enable cross-sector clients to better understand and tailor services to the populations they serve. \u003C\/p\u003E\u003Cp\u003EQualifications \u003C\/p\u003E\u003Cp\u003ERequired: \u003C\/p\u003E\u003Cp\u003E\u2022\tBachelor\u2019s degree \u003C\/p\u003E\u003Cp\u003E\u2022\tMust be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future \u003C\/p\u003E\u003Cp\u003E\u2022\t2+ years of demonstrated ability to build production-grade data engineering solutions \u003C\/p\u003E\u003Cp\u003E\u2022\tIntermediate to advanced proficiency in Python and SQL \u003C\/p\u003E\u003Cp\u003E\u2022\tExperience with Vertex AI or MLFLow \u003C\/p\u003E\u003Cp\u003EPreferred: \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with Google Cloud Platform services including: Pub\/Sub, Cloud Run, Cloud Build, Google Cloud Storage (GCS), BigQuery, Artifact Registry, Feature Store \u003C\/p\u003E\u003Cp\u003E\u2022 Proficiency with containerization technologies (Docker, Kubernetes, GKE) \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with Spark-based technologies (PySpark, Dataproc, DataFlow) \u003C\/p\u003E\u003Cp\u003E\u2022 Hands-on experience with Vertex AI Platform and Vertex AI Pipelines \u003C\/p\u003E\u003Cp\u003E\u2022 Familiarity with Agile methodologies \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with project management and collaboration tools (Jira, Confluence) \u003C\/p\u003E\u003Cp\u003E\u2022 Knowledge of Snowflake data platform \u003C\/p\u003E\u003Cp\u003EInformation for applicants with a need for accommodation: https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html \u003C\/p\u003E\u003Cbr\u003E", "responsibilities": "\u003Cp\u003EOur Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, government operations modernization, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey\u2014before, during, and after any major transformational projects or transactions. \u003C\/p\u003E\u003Cp\u003EWork You\u2019ll Do \u003C\/p\u003E\u003Cp\u003EOur team is looking for a detail-oriented MLOps Engineer to design, build, and maintain scalable machine learning operations infrastructure and end-to-end data pipelines in cloud environments. \u003C\/p\u003E\u003Cp\u003EKey Responsibilities: \u003C\/p\u003E\u003Cp\u003E\u2022 Design and implement configurable, scalable, flexible, and portable end-to-end ML pipelines within cloud environments \u003C\/p\u003E\u003Cp\u003E\u2022 Develop and maintain robust data engineering solutions using advanced Python programming \u003C\/p\u003E\u003Cp\u003E\u2022 Create and maintain comprehensive documentation for workflows, processes, and best practices across data engineering, data management, and solution architecture \u003C\/p\u003E\u003Cp\u003E\u2022 Manage code repositories and implement version control strategies using Git and GitHub \u003C\/p\u003E\u003Cp\u003E\u2022 Collaborate with cross-functional teams including analysts, data scientists, and business stakeholders to deliver actionable insights \u003C\/p\u003E\u003Cp\u003E\u2022 Translate technical requirements into functional specifications and vice versa for diverse stakeholder groups \u003C\/p\u003E\u003Cp\u003E\u2022 Drive solutions independently from concept through implementation and deployment \u003C\/p\u003E\u003Cp\u003EThe Team \u003C\/p\u003E\u003Cp\u003EDeloitte\u2019s Government & Public Services (GPS) practice \u2013 our people, ideas, technology and outcomes \u2013 is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. \u003C\/p\u003E\u003Cp\u003EOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. \u003C\/p\u003E\u003Cp\u003EThe Prism Products portfolio is a group of AI-powered population insight solutions, including HealthPrism, PeoplePrism, Candidate360, and GivePrism, that enable cross-sector clients to better understand and tailor services to the populations they serve. \u003C\/p\u003E\u003Cp\u003EQualifications \u003C\/p\u003E\u003Cp\u003ERequired: \u003C\/p\u003E\u003Cp\u003E\u2022\tBachelor\u2019s degree \u003C\/p\u003E\u003Cp\u003E\u2022\tMust be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future \u003C\/p\u003E\u003Cp\u003E\u2022\t2+ years of demonstrated ability to build production-grade data engineering solutions \u003C\/p\u003E\u003Cp\u003E\u2022\tIntermediate to advanced proficiency in Python and SQL \u003C\/p\u003E\u003Cp\u003E\u2022\tExperience with Vertex AI or MLFLow \u003C\/p\u003E\u003Cp\u003EPreferred: \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with Google Cloud Platform services including: Pub\/Sub, Cloud Run, Cloud Build, Google Cloud Storage (GCS), BigQuery, Artifact Registry, Feature Store \u003C\/p\u003E\u003Cp\u003E\u2022 Proficiency with containerization technologies (Docker, Kubernetes, GKE) \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with Spark-based technologies (PySpark, Dataproc, DataFlow) \u003C\/p\u003E\u003Cp\u003E\u2022 Hands-on experience with Vertex AI Platform and Vertex AI Pipelines \u003C\/p\u003E\u003Cp\u003E\u2022 Familiarity with Agile methodologies \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with project management and collaboration tools (Jira, Confluence) \u003C\/p\u003E\u003Cp\u003E\u2022 Knowledge of Snowflake data platform \u003C\/p\u003E\u003Cp\u003EInformation for applicants with a need for accommodation: https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html \u003C\/p\u003E\u003Cbr\u003E", "skills": "\u003Cp\u003EOur Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, government operations modernization, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey\u2014before, during, and after any major transformational projects or transactions. \u003C\/p\u003E\u003Cp\u003EWork You\u2019ll Do \u003C\/p\u003E\u003Cp\u003EOur team is looking for a detail-oriented MLOps Engineer to design, build, and maintain scalable machine learning operations infrastructure and end-to-end data pipelines in cloud environments. \u003C\/p\u003E\u003Cp\u003EKey Responsibilities: \u003C\/p\u003E\u003Cp\u003E\u2022 Design and implement configurable, scalable, flexible, and portable end-to-end ML pipelines within cloud environments \u003C\/p\u003E\u003Cp\u003E\u2022 Develop and maintain robust data engineering solutions using advanced Python programming \u003C\/p\u003E\u003Cp\u003E\u2022 Create and maintain comprehensive documentation for workflows, processes, and best practices across data engineering, data management, and solution architecture \u003C\/p\u003E\u003Cp\u003E\u2022 Manage code repositories and implement version control strategies using Git and GitHub \u003C\/p\u003E\u003Cp\u003E\u2022 Collaborate with cross-functional teams including analysts, data scientists, and business stakeholders to deliver actionable insights \u003C\/p\u003E\u003Cp\u003E\u2022 Translate technical requirements into functional specifications and vice versa for diverse stakeholder groups \u003C\/p\u003E\u003Cp\u003E\u2022 Drive solutions independently from concept through implementation and deployment \u003C\/p\u003E\u003Cp\u003EThe Team \u003C\/p\u003E\u003Cp\u003EDeloitte\u2019s Government & Public Services (GPS) practice \u2013 our people, ideas, technology and outcomes \u2013 is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. \u003C\/p\u003E\u003Cp\u003EOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation. \u003C\/p\u003E\u003Cp\u003EThe Prism Products portfolio is a group of AI-powered population insight solutions, including HealthPrism, PeoplePrism, Candidate360, and GivePrism, that enable cross-sector clients to better understand and tailor services to the populations they serve. \u003C\/p\u003E\u003Cp\u003EQualifications \u003C\/p\u003E\u003Cp\u003ERequired: \u003C\/p\u003E\u003Cp\u003E\u2022\tBachelor\u2019s degree \u003C\/p\u003E\u003Cp\u003E\u2022\tMust be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future \u003C\/p\u003E\u003Cp\u003E\u2022\t2+ years of demonstrated ability to build production-grade data engineering solutions \u003C\/p\u003E\u003Cp\u003E\u2022\tIntermediate to advanced proficiency in Python and SQL \u003C\/p\u003E\u003Cp\u003E\u2022\tExperience with Vertex AI or MLFLow \u003C\/p\u003E\u003Cp\u003EPreferred: \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with Google Cloud Platform services including: Pub\/Sub, Cloud Run, Cloud Build, Google Cloud Storage (GCS), BigQuery, Artifact Registry, Feature Store \u003C\/p\u003E\u003Cp\u003E\u2022 Proficiency with containerization technologies (Docker, Kubernetes, GKE) \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with Spark-based technologies (PySpark, Dataproc, DataFlow) \u003C\/p\u003E\u003Cp\u003E\u2022 Hands-on experience with Vertex AI Platform and Vertex AI Pipelines \u003C\/p\u003E\u003Cp\u003E\u2022 Familiarity with Agile methodologies \u003C\/p\u003E\u003Cp\u003E\u2022 Experience with project management and collaboration tools (Jira, Confluence) \u003C\/p\u003E\u003Cp\u003E\u2022 Knowledge of Snowflake data platform \u003C\/p\u003E\u003Cp\u003EInformation for applicants with a need for accommodation: https:\/\/www2.deloitte.com\/us\/en\/pages\/careers\/articles\/join-deloitte-assistance-for-disabled-applicants.html \u003C\/p\u003E\u003Cbr\u003E", "specialCommitments": "No", "validThrough" : "2026-05-31", "title" : "US E- GPS Consulting - MLOps Engineer - S&T - Product - Prism - JC - 581865" }
Big Four
MLOps Engineer
at Deloitte
JuniorNo visa sponsorshipPython
Posted 5 days ago
No clicks
- Compensation
- Not specified
- City
- Washington DC
- Country
- United States
Currency: Not specified
Deloitte GPS is seeking a detail-oriented MLOps Engineer to design, build, and maintain scalable machine learning operations infrastructure and end-to-end data pipelines in cloud environments. The role involves creating configurable, scalable ML pipelines, developing data engineering solutions in Python, managing code repositories with Git/GitHub, and collaborating with analysts, data scientists, and stakeholders to deliver actionable insights. The position is part of Deloitte's Government & Public Services practice in the Prism product area, located in Arlington/Rosslyn, VA.
MLOps Engineer
Engineering and Product | Engineering and Product
Arlington/Rosslyn, Virginia, United States
Caution against fraudulent job offers. Learn more.
Position Summary
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, government operations modernization, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey—before, during, and after any major transformational projects or transactions.
Work You’ll Do
Our team is looking for a detail-oriented MLOps Engineer to design, build, and maintain scalable machine learning operations infrastructure and end-to-end data pipelines in cloud environments.
Key Responsibilities:
• Design and implement configurable, scalable, flexible, and portable end-to-end ML pipelines within cloud environments
• Develop and maintain robust data engineering solutions using advanced Python programming
• Create and maintain comprehensive documentation for workflows, processes, and best practices across data engineering, data management, and solution architecture
• Manage code repositories and implement version control strategies using Git and GitHub
• Collaborate with cross-functional teams including analysts, data scientists, and business stakeholders to deliver actionable insights
• Translate technical requirements into functional specifications and vice versa for diverse stakeholder groups
• Drive solutions independently from concept through implementation and deployment
The Team
Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
The Prism Products portfolio is a group of AI-powered population insight solutions, including HealthPrism, PeoplePrism, Candidate360, and GivePrism, that enable cross-sector clients to better understand and tailor services to the populations they serve.
Qualifications
Required:
• Bachelor’s degree
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• 2+ years of demonstrated ability to build production-grade data engineering solutions
• Intermediate to advanced proficiency in Python and SQL
• Experience with Vertex AI or MLFLow
Preferred:
• Experience with Google Cloud Platform services including: Pub/Sub, Cloud Run, Cloud Build, Google Cloud Storage (GCS), BigQuery, Artifact Registry, Feature Store
• Proficiency with containerization technologies (Docker, Kubernetes, GKE)
• Experience with Spark-based technologies (PySpark, Dataproc, DataFlow)
• Hands-on experience with Vertex AI Platform and Vertex AI Pipelines
• Familiarity with Agile methodologies
• Experience with project management and collaboration tools (Jira, Confluence)
• Knowledge of Snowflake data platform
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Requisition code: 322476
Job ID 322476
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