Data Science

2 weeks ago

New Delhi, India People Prime Worldwide Full time

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 : 8-10 yrs Type Of Hire : Contract to HirePrimary 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 leverageArtificial Intelligence, Machine Learning , andDeep Learningmodels in addition to other statistical techniques to target specific business objectives and create new business opportunities.• Design and develop customML, Gen AI, NLP, LLMModels for batch and stream processing-basedAI ML pipelines •Utilize LangChain / LlamaIndexfor advanced language processing tasks. Perform fine-tuning of models and work with Parameter-Efficient Fine-Tuning (PEFT),RAG, and AgenticFrameworks • 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 usingML, 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 asAzure ML, Databricks ML, AWS Sage makerand experience contributing toGitHuband open-source initiatives is a plus.

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