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Data Science Manager @ Tredence

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Tredence  Data Science Manager

Job Description

Role & responsibilities

  • Design, develop, and deploy Generative AI and LLM-based applications using frameworks such as LangChain, LangGraph, and RAG techniques.
  • Write efficient and scalable Python code for data processing, model training, and inference pipelines.
  • Implement custom LLM workflows, prompt engineering, and fine-tuning strategies for domain-specific use cases.
  • Integrate vector databases (e.g., FAISS, Pinecone, ChromaDB, Weaviate) for retrieval and semantic search solutions.
  • Collaborate with data engineers to build and maintain data pipelines, ensuring data quality and integrity.
  • Perform data analysis, feature engineering, and statistical modeling to extract insights and improve model performance.
  • Work with cloud environments (AWS, Azure, GCP) to deploy and scale AI solutions.
  • Stay current with the latest trends in GenAI, LLMs, and AI frameworks, and apply them to business problems.

Preferred candidate profile

  • 812 years of total experience in Data Science, Machine Learning, or AI development.
  • Strong proficiency in Python and popular data science libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow).
  • Hands-on experience with Generative AI frameworks such as LangChain, LangGraph, LLM APIs (OpenAI, Anthropic, etc.), and RAG architectures.
  • Expertise in prompt engineering, vector search, and document retrieval techniques.
  • Experience deploying and managing LLM-based solutions in production environments.
  • Knowledge of MLOps, model evaluation, and experiment tracking tools (e.g., MLflow, DVC, Weights & Biases).
  • Familiarity with cloud-based AI services (AWS Sagemaker, Azure OpenAI, GCP Vertex AI).
  • Excellent problem-solving, communication, and collaboration skills.

Preferred / Nice-to-Have


  • Experience with Graph-based reasoning and workflow orchestration tools (LangGraph, LlamaIndex, etc.).
  • Background in Natural Language Processing (NLP) and transformer-based models.
  • Exposure to API integration, microservices, and containerization (Docker, Kubernetes).
  • Prior experience mentoring junior data scientists or leading AI projects.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Tredence
Location(s): Pune

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Keyskills:   Generative Ai Machine Learning Python Data Science Artificial Intelligence Natural Language Processing Statistical Modeling Deep Learning

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Tredence

We are a digital solutions and technology services company that partners with global organizations across industries to achieve digital transformation. With a strong track record of innovation, investment in digital solutions, and commitment to client success, at Zensar, you can help clients achieve...