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Senior Data Scientist (Generative AI)
3-9 years
₹ 16 - 30L/yr (AmbitionBox estimate)
Kolkata, Mumbai, New Delhi + 4 more
1 vacancy
Senior Data Scientist (Generative AI)
Zensar Technologies
posted 6hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Design and implement RAG workflows that enhance LLMs (e.g., Anthropic Claude , OpenAI GPT) with real-time data from external knowledge sources.
- Fine-tune pre-trained LLMs using domain-specific datasets to optimize response accuracy and contextual relevance.
- Develop data augmentation pipelines for conversational AI systems that deliver context-aware, high-quality outputs.
- Build and improve recommender systems using collaborative filtering , content-based filtering , and hybrid approaches .
- Design and implement rules-based next-best-action models that use contextual and behavioral data to recommend optimal outcomes.
- Leverage RAG methodologies to improve the real-time personalization of recommendations.
- Conduct exploratory data analysis (EDA) to uncover trends, patterns, and insights from structured and unstructured datasets.
- Build machine learning models to predict user behavior, optimize processes, and drive actionable insights.
- Work with large-scale datasets using AWS services , such as SageMaker, DynamoDB, and Aurora, to train and deploy AI models.
- Implement vector embeddings for data retrieval and search using tools like DynamoDB with Aurora or other vector databases.
- Bachelor s,Master s or Ph.D. in Data Science, Computer Science, Machine Learning, Statistics, or a related field.
- 5+ years of experience in data science, with a focus on generative AI , RAG , or advanced recommendation systems.
- Hands-on experience with LLMs (e.g., Anthropic Claude , OpenAI GPT) and embedding-based retrieval techniques.
- Proficient in leveraging AWS technologies for model development and deployment.
- Proficiency in Python or R and expertise in machine learning libraries like TensorFlow , PyTorch , and Scikit-learn .
- Strong understanding of retrieval-augmented generation (RAG) pipelines and embedding-based systems.
- Experience with AWS services , including SageMaker, DynamoDB, and Aurora, for scalable AI solutions.
- Familiarity with MLOps pipelines, CI/CD practices, and production-grade deployments.
- Knowledge of advanced analytical techniques, such as deep learning or natural language processing.
Employment Type: Full Time, Permanent
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(based on 159 Zensar Technologies interviews) What people at Zensar Technologies are saying
Rating based on 2 Senior Data Scientist
reviews
Anonymous · Data Science & Machine Learning
in Pune
Good for people who want to maintain work-life balance and not worried about growth
Bad Work Culture. Lack of Clarity for management
Read 2 reviewsSenior Data Scientist salary at Zensar Technologies
What Zensar Technologies employees are saying about work life
Zensar Technologies Benefits
Work From Home Team Outings Health Insurance Vacation & Paid Time Off Sabbatical 
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