Data Science

About Client :-

Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.

The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world.

They provide a variety of services, including consulting, technology, professional, and outsourcing services.

Job Details:-

location : Pune

Mode Of Work : Hybrid

Notice Period : Immediate Joiners

Experience : 5+

Type Of Hire : Contract to Hire

Primary Skills :-

JD

Senior Data Scientist - Machine Learning

We are seeking a highly skilled Senior Data Scientist to join our team at Fiserv, a global leader in Fintech and payments. As a Senior Data Scientist within Data Commerce Solutions, you will design and develop products and solutions to drive innovation.

You will leverage Artificial Intelligence, Machine Learning, and Deep Learning models in addition to other statistical techniques to target specific business objectives and create new business opportunities.

Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines

Utilize LangChain / LlamaIndex for advanced language processing tasks. Perform fine-tuning of models and work with Parameter-Efficient Fine-Tuning (PEFT), RAG, and Agentic Frameworks

Collaborate with the MLOps team to ensure smooth deployment and maintenance of models

Develop and lead presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions

We are looking for candidates with a strong background in data science, computer science, or related field. You should have 7+ years of hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, RAG, and NLP.

Additional requirements include proficiency in tokenization and embeddings, as well as experience creating models, improving model training and tuning, and deploying Large Language Model architectures based on LLaMA, BERT, or Transformer-based models.

Candidates should also have hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch or similar statistical tools. Experience working with complex object-oriented architecture coding solutions is also desirable.

Familiarity with data platforms and applications such as Azure ML, Databricks ML, AWS Sage maker and experience contributing to GitHub and open-source initiatives is a plus.