Datascientist - GENAI
at Capgemini
Posted 6 days ago
No clicks
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
As an AI/ML Engineer focusing on Generative AI, you will design, develop, train, and deploy high-performing AI/ML models to solve complex business challenges. You will work with cross-functional teams, large datasets, and modern AI frameworks to build scalable and efficient solutions. You will build Generative AI solutions using LLM APIs for reading, parsing, analyzing, and scoring text, images, and numerical data, and deploy models into production with end-to-end pipelines. You will collaborate with data engineers, cloud architects, and domain experts to deliver production-ready AI solutions.
Job Description
AI/ML Engineer
Location: Gurgoan
Experience: 4–7 years
Choosing Capgemini means choosing a place where you’ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what’s possible. Join us in building cutting‑edge AI and machine learning solutions that drive innovation, automation, and intelligence across industries.
Your Role
As an AI/ML Engineer, you will design, develop, train, and deploy high‑performing AI and machine learning models to solve complex business challenges. You will work with cross‑functional teams, large datasets, and modern AI frameworks to build scalable and efficient solutions.
In this role, you will:
- Design, develop, and deploy AI and machine learning models using deep learning, neural networks, and traditional ML techniques.
- Build Generative AI solutions using LLM APIs for reading, parsing, analyzing, and scoring text, image, and numerical data.
- Collect, analyze, and preprocess large datasets for training and testing AI/ML models.
- Train, fine‑tune, and optimize AI models using various algorithms and approaches.
- Deploy models into production environments ensuring scalability, reliability, and performance.
- Perform testing, validation, and bias checks to ensure models meet accuracy and compliance requirements.
- Implement end‑to‑end pipelines for ML model lifecycle management.
- Collaborate with data engineers, cloud architects, and domain experts to deliver production‑ready AI solutions.
Your Profile
- Strong experience in AI/ML model development, training, and deployment.
- Hands‑on expertise with Generative AI and LLM‑based solutions.
- Proficiency in Python and related AI/ML libraries.
- Experience with AI frameworks such as TensorFlow, PyTorch, Keras, and scikit‑learn.
- Solid understanding of supervised and unsupervised learning, regression, classification, clustering, and neural networks.
- Experience working with large datasets, data preprocessing, and model evaluation techniques.
- Strong problem‑solving skills and a proactive, innovation‑focused mindset.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
What You’ll Love About Working Here
- Flexible work options that support work‑life balance.
- An inclusive culture where diverse talents collaborate and innovate.
- Access to continuous learning, certifications, and career‑growth opportunities in AI, ML, Cloud, and Generative AI.
- Opportunities to work on cutting‑edge AI transformation programs across global clients.
About Us
At Capgemini Engineering, the world leader in engineering services, we bring together engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From intelligent automation to next‑gen AI systems, our experts push the boundaries of what's possible by delivering transformative engineering and R&D solutions across industries.
Datascientist - GENAI
at Capgemini
Datascientist - GENAI
at Capgemini
Posted 6 days ago
No clicks
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
As an AI/ML Engineer focusing on Generative AI, you will design, develop, train, and deploy high-performing AI/ML models to solve complex business challenges. You will work with cross-functional teams, large datasets, and modern AI frameworks to build scalable and efficient solutions. You will build Generative AI solutions using LLM APIs for reading, parsing, analyzing, and scoring text, images, and numerical data, and deploy models into production with end-to-end pipelines. You will collaborate with data engineers, cloud architects, and domain experts to deliver production-ready AI solutions.
Job Description
AI/ML Engineer
Location: Gurgoan
Experience: 4–7 years
Choosing Capgemini means choosing a place where you’ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what’s possible. Join us in building cutting‑edge AI and machine learning solutions that drive innovation, automation, and intelligence across industries.
Your Role
As an AI/ML Engineer, you will design, develop, train, and deploy high‑performing AI and machine learning models to solve complex business challenges. You will work with cross‑functional teams, large datasets, and modern AI frameworks to build scalable and efficient solutions.
In this role, you will:
- Design, develop, and deploy AI and machine learning models using deep learning, neural networks, and traditional ML techniques.
- Build Generative AI solutions using LLM APIs for reading, parsing, analyzing, and scoring text, image, and numerical data.
- Collect, analyze, and preprocess large datasets for training and testing AI/ML models.
- Train, fine‑tune, and optimize AI models using various algorithms and approaches.
- Deploy models into production environments ensuring scalability, reliability, and performance.
- Perform testing, validation, and bias checks to ensure models meet accuracy and compliance requirements.
- Implement end‑to‑end pipelines for ML model lifecycle management.
- Collaborate with data engineers, cloud architects, and domain experts to deliver production‑ready AI solutions.
Your Profile
- Strong experience in AI/ML model development, training, and deployment.
- Hands‑on expertise with Generative AI and LLM‑based solutions.
- Proficiency in Python and related AI/ML libraries.
- Experience with AI frameworks such as TensorFlow, PyTorch, Keras, and scikit‑learn.
- Solid understanding of supervised and unsupervised learning, regression, classification, clustering, and neural networks.
- Experience working with large datasets, data preprocessing, and model evaluation techniques.
- Strong problem‑solving skills and a proactive, innovation‑focused mindset.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
What You’ll Love About Working Here
- Flexible work options that support work‑life balance.
- An inclusive culture where diverse talents collaborate and innovate.
- Access to continuous learning, certifications, and career‑growth opportunities in AI, ML, Cloud, and Generative AI.
- Opportunities to work on cutting‑edge AI transformation programs across global clients.
About Us
At Capgemini Engineering, the world leader in engineering services, we bring together engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From intelligent automation to next‑gen AI systems, our experts push the boundaries of what's possible by delivering transformative engineering and R&D solutions across industries.
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