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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

Founded in 2000, Chetu is a global leader in providing tailored software development solutions and support services. Chetu\\\\\\\'s dedicated team of technology professionals offers an extensive array of software solutions, including custom application development, enterprise software integration, m...