Data Scientist- 4-6 yrs Exp

17 hours ago

Viman Nagar, Maharashtra, India APPTESTIFY GLOBAL SERVICES PVT LTD Full time ₹ 6,00,000 - ₹ 17,65,414 per year

About the Role

We are seeking an experienced and highly motivated Data Scientist with 4–6 years of hands-on experience in Generative AI, Machine Learning, and Deep Learning, including the development and deployment of Large Language Models (LLMs) and transformer-based architectures. You will work on cutting-edge AI solutions across various domains like NLP, Computer Vision, Reinforcement Learning, and more, contributing to both research and production-level implementations.

Key Responsibilities

  • Design, develop, and deploy machine learning models with a focus on Generative AI, NLP, and LLMs (e.g., GPT, BERT, LLaMA).
  • Implement Retrieval-Augmented Generation (RAG) pipelines, and perform prompt engineering for various use cases.
  • Fine-tune and optimize transformer models using frameworks like Hugging Face Transformers and LangChain.
  • Develop and evaluate models for classification, regression, recommendation, summarization, question answering, etc.
  • Use vector databases (e.g., Pinecone, FAISS, Weaviate, Milvus) to manage and query embeddings for scalable LLM applications.
  • Collaborate with cross-functional teams (engineering, product, business) to deliver AI/ML solutions aligned with business goals.
  • Utilize MLOps tools (e.g., MLflow, Kubeflow) for versioning, model monitoring, and lifecycle management.
  • Deploy ML models to cloud platforms (preferably AWS SageMaker) ensuring scalability and performance.
  • Work with OpenAI, Anthropic, Cohere APIs and explore their integration into enterprise use cases.

Required Skills & QualificationsCore Technical Skills

  • Languages: Python, R, SQL
  • Libraries/Frameworks: PyTorch, TensorFlow, Keras, Scikit-learn, XGBoost, LightGBM
  • NLP/GenAI: Hugging Face, LangChain, LlamaIndex, RAG, Prompt Engineering
  • LLMs: BERT, GPT, LLaMA, etc.
  • Vector DBs: Pinecone, FAISS, Weaviate, Milvus
  • Cloud & MLOps: AWS SageMaker, MLflow, Kubeflow
  • Deployment: RESTful APIs, model packaging, containerization (Docker/Kubernetes a plus)

Soft Skills

  • Strong analytical and problem-solving abilities
  • Excellent written and verbal communication skills
  • Ability to work in a collaborative and agile team environment

Nice to Have

  • Experience with Reinforcement Learning (RL) or Computer Vision (CV) models
  • Familiarity with Anthropic Claude, Cohere Command R+, or similar LLMs
  • Knowledge of data privacy, model interpretability, and AI ethics

Job Type: Full-time

Pay: ₹600, ₹1,765,414.45 per year

Benefits:

  • Health insurance
  • Provident Fund

Work Location: In person

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