Data Scientist

About Client :

Our client is an AI-led, platform-driven company with human-in-the-loop intelligence, helping global enterprises modernize, infuse AI, and scale with agility. The unit and Mphasis AI-powered ‘Tribes’ are focused on client outcomes and embed artificial intelligence and autonomy into every layer of the enterprise technology and process stack.

'AI Without Intelligence Is ArtificialTM'

• Job Title : Data Scientist
• Work location : Bengaluru
• Employment Type : Full time
• Years of Experience : 5+ Yrs
• Notice Period : Immediate

Responsibilities :

o Proficiency in Python, with experience in libraries such as Pandas, NumPy, and PyTorch/TensorFlow.

GenAI Expertise :

o Hands-on experience with Azure OpenAI services and non-OpenAI LLMs.

o Familiarity with LangChain, RAG applications, MCPs and prompt engineering techniques.

o The ability to navigate technology hype, identify and prioritize game-changing applications for our group and execute their development in agile squads

o A deep understanding of foundational and large language models and the vision and hands-on mindset to make your ideas come to life in ZEISS solutions

o Experience with best practices in model development and deployment (Azure Machine Learning Service/ MLflow)

o Experience with fine-tuning and deploying LLMs at scale(good to have)

Data Engineering :

o Strong knowledge of data pipelines, and workflow orchestration tools

o Experience with connecting to enterprise systems like SAP, cloud databases, and APIs.

· Architecture & Scaling:

o Proven experience in designing and scaling AI systems for enterprise applications.

o Expertise in cloud platforms (Azure preferred) and distributed computing.

o Familiarity with containerization (Docker) and orchestration (CI/CD pipelines and terraform).

Databases :

o Strong SQL skills and experience with relational (e.g., PostgreSQL, MySQL – good to have) and NoSQL databases (e.g., MongoDB, Cosmos DB).

· Problem-Solving:

o Strong analytical and problem-solving skills with the ability to debug complex systems.

· Communication:

o Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.

· Leadership:

o Proven ability to lead and mentor teams, manage projects, and deliver results.

o Strong communication and stakeholder management skills.