Module Lead AI/ML

Sopra Steria Group; India; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Sopra Steria Group in India seeks a Senior AI Engineer to design and deploy advanced Generative AI solutions, with focus on LLM fine-tuning, MLOps, and scalable AI workflows. You will work with LangChain, LlamaIndex, AutoGen, and CrewAI, and deploy models on cloud platforms.

The role requires 4–6 years of experience, strong Python and NLP skills, and collaboration with cross-functional teams to integrate AI into existing systems, while keeping pace with the latest research.

Qualifications

• Design and implement Generative AI applications.
• Develop and fine-tune LLMs for various use cases.
• Build scalable AI workflows and deployments on cloud platforms.

Responsibilities

• Design and implementation of Generative AI applications.
• Fine-tune and optimize large language models (LLMs).
• Develop AI workflows using LangChain, LlamaIndex, AutoGen, and CrewAI.
• Deploy AI models on AWS, Azure, or Google Cloud with MLOps practices.
• Create ML pipelines with Airflow, MLflow, and DBT.
• Develop and monitor NER models with TensorFlow and PyTorch.
• Work with multimodal LLMs and OCR technologies.
• Develop and deploy APIs using FastAPI.
• Collaborate with cross-functional teams to integrate AI solutions.

Skills

Python programming

NLP techniques

Communication

Leadership

Agile teamwork

Tools

LangChain

AutoGen

CrewAI

LlamaIndex

DBT

MLflow

Apache Airflow

FastAPI

TensorFlow

PyTorch

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.
The world is how we shape it.

Job Description

We are looking for an experienced Senior AI Engineer for the development and deployment of advanced AI solutions. The ideal candidate will have a strong background in statistics, machine learning, deep learning, and Generative AI, with experience in multi-agent frameworks and MLOps practices. An R&D-driven mindset is crucial for driving innovation and staying ahead in this rapidly evolving field.

Total Experience Expected: 04-6 years

Qualifications

Key Responsibilities:

• Design and implementation of Generative AI applications.
• Fine-tune and optimize large language models (LLMs) for various use cases.
• Develop and manage AI workflows using frameworks like LangChain, LlamaIndex, AutoGen, and CrewAI.
• Ensure scalable and efficient deployment of AI models on cloud platforms (AWS, Azure, or Google Cloud).
• Implement best practices in MLOps and LLMOps for continuous integration and deployment of AI models.
• Develop and monitor machine learning pipelines using tools like Apache Airflow, MLflow, and DBT.
• Implement Named Entity Recognition (NER) models using TensorFlow and PyTorch.
• Work with multimodal LLMs and Optical Character Recognition (OCR) technologies.
• Develop and deploy APIs using FastAPI.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Engage in continuous learning and research to stay abreast of the latest developments in AI and incorporate them into projects.

Required Skills:

• Strong proficiency in Python and experience with NLP techniques.
• Expertise in agentic frameworks such as LangChain, AutoGen, and CrewAI.
• Experience with LLM fine-tuning and creating distilled models from hosted LLMs.
• Knowledge of building data pipelines for model training and deployment using tools like Apache Airflow, MLflow, and DBT.
• Proficiency in TensorFlow and PyTorch for developing NER models.
• Experience with multimodal LLMs and OCR technologies.
• Familiarity with developing and deploying APIs using FastAPI.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes.
• Experience in creating CI/CD pipelines and implementing MLOps practices.
• Demonstrated R&D mindset, including open-mindedness, persistence, critical thinking, and a commitment to continuous learning.
• Strong problem-solving skills and the ability to work in agile teams.
• Excellent communication and leadership abilities.

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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