Data Scientist

About client :

A leading applied technology services company, we innovate to deliver service excellence and successful outcomes across sales, delivery and development. With our strategy to be agile, nimble and customer-centric, we anticipate the future of applied technology and predict tomorrow’s trends to keep our clients at the summit in an ever-changing marketplace. Leading with architecture and design, our next-gen solutions enable enterprises to accelerate on their digital transformation journey.

Customer centricity is foundational to us and is reflected in the Mphasis’ Front2Back™ (F2B) transformation approach. F2B is a customer-in view approach that uses our industry-specific X2C2TM framework, and harnesses the power of cognitive technologies and rich data resident in enterprises to transform them. It is a way to introduce disruptive technology to smartly transform legacy environments. . Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

• Job Title : Data Scientist
• Key Skills : python, liabraries, AI framework, GenAI, Cloud(Azure)
• Job Locations : Bangalore
• Experience : 8+ Years.
• Education Qualification : Any Graduation.
• Work Mode : Hybrid.
• Employment Type : Full time
• Notice Period : Immediate - 15 Day..

Responsibilities :

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

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.

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).

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

Interested candidates please share resume

keerthana.s@people-prime.com