Senior Data Scientist - GenAI

Location:

Experience:

About the Role:

AI/ML Engineer

Key Responsibilities:

• Design, develop, and optimize

  LLM-based applications

  with a focus on

  RAG pipelines, fine-tuning, and model deployment

  .
• Implement

  GenAI solutions

  for text generation, summarization, code generation, and other NLP tasks.
• Develop and optimize

  ML models

  , leveraging classical and deep learning techniques.
• Build and integrate

  retrieval systems

  using vector databases like

  FAISS, ChromaDB, Pinecone, or Weaviate

  .
• Optimize and fine-tune LLMs (e.g.,

  OpenAI GPT, LLaMA, Mistral, Falcon

  ) for domain-specific use cases.
• Develop

  data pipelines

  for training, validation, and inference.
• Work on

  scalable AI solutions

  , ensuring performance and cost efficiency in deployment.
• Collaborate with cross-functional teams to integrate AI models into production applications.

Required Skills & Qualifications:

• 3+ years

  of experience in AI/ML development.
• Strong proficiency in

  Python

  and ML frameworks like

  TensorFlow, PyTorch, or Hugging Face Transformers

  .
• Hands-on experience with

  LLMs, GenAI, and RAG architectures

  .
• Experience working with

  vector databases

  (e.g., FAISS, Pinecone, ChromaDB).
• Knowledge of

  ML algorithms

  , deep learning architectures, and NLP techniques.
• Familiarity with cloud platforms (

  AWS, GCP, or Azure

  ) and AI/ML model deployment.
• Experience with

  LangChain or LlamaIndex

  for LLM applications is a plus.
• Strong problem-solving skills and the ability to work in a fast-paced environment.

Nice-to-Have Skills:

• Experience with

  multi-modal AI models

  (text, image, video).
• Knowledge of

  MLOps tools

  (Kubeflow, MLflow, or Vertex AI).
• Familiarity with

  prompt engineering and fine-tuning strategies

  .

Why Join Us?

• Work on cutting-edge AI projects in an innovative and collaborative environment.
• Opportunities for career growth and learning in the fast-evolving AI space.
• Competitive compensation, flexible work options, and great team culture.

How to Apply:

If youre passionate about AI and eager to build next-gen AI applications, wed love to hear from you!