GEN AI Engineer

Sopra Steria

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

7 days ago
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Job summary

Sopra Steria is seeking a skilled ML/AI engineer to design, train, and deploy GenAI solutions. The role emphasizes building GenAI applications, fine-tuning foundation models, and creating robust data pipelines for real-world business problems.

You will collaborate with data scientists, engineers, and PMs to integrate AI features into products, leveraging AWS Bedrock, GCP Vertex AI, and various ML frameworks.

Qualifications

  • Bachelor's or master's degree in CS/CE/IT or related field with 4–6 years of relevant experience.
  • Strong Python coding and hands-on ML/AI experience across frameworks.
  • Experience with GenAI, LangChain, and cloud deployment on AWS/GCP.

Responsibilities

  • Design, build, and train ML/deep learning models for business problems.
  • Develop GenAI applications: fine-tune models, RAG pipelines, multi-agent systems.
  • Prepare and optimize structured and unstructured data for training pipelines.
  • Integrate AI features into products with engineers, data scientists, and PMs.

Skills

Python
ML frameworks
GenAI tools
Cloud platforms
LLMs & embeddings

Education

Bachelor/Master in CS/CE/IT

Tools

OpenShift
Docker
Kubernetes

Job description

About Sopra Steria

Sopra Steria, a major Tech player in Europe with 51,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2025, the Group generated revenues of €5.6 billion.

Company Description
About Sopra Steria

Sopra Steria, a major Tech player in Europe with 51,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2025, the Group generated revenues of €5.6 billion.

Job Description

The world is how we shape it.

Must have skill:
  • Strong Python proficiency
  • Deep experience with ML/AI frameworks
  • Hands-on experience with GenAI orchestration tools (e.g., LangChain)
  • Cloud deployment experience (AWS Bedrock, GCP Vertex AI)
  • Expertise in LLMs, Agentic Flows, RAG, Embeddings, GCP
Good to have:
  • OpenShift or containerization experience
  • Open-source AI contributions or ML publications
  • Experience in Identity and Access Management (IAM) domain
Roles and Responsibilities:
  • Design, build, and train ML/deep learning models for business problems
  • Build GenAI applications: fine-tune foundation models (LLMs, CV, or NLP), RAG pipelines, and multi-agent systems
  • Clean and optimize data (structured & unstructured) for training pipelines
  • Integrate AI features into products, working closely with engineers, data scientists, and PMs

Total Experience Expected: 04-06 years

Qualifications

A Bachelor/ Master Degree in Computer Science, Computer Engineering, Information Technology, or relevant field experience of 4 to 6 years

Additional Information

At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.

All of our positions are open to people with disabilities.

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