Gen AI Developer

Gen AI Developer

Roles & Responsibilities:

• Design, develop, and implement

  Generative AI models

  , including those utilizing LLMs (GPT, LLaMA, Claude, etc.) and image/video generation models.
• Apply expertise in

  Python

  and ML frameworks such as

  TensorFlow, PyTorch, and JAX

  for model development and optimization.
• Leverage knowledge of

  NLP (Natural Language Processing)

  , transformers, embeddings, and prompt engineering to build sophisticated AI applications.
• Implement solutions using

  vector databases

  (e.g., FAISS, Pinecone) and

  retrieval-augmented generation (RAG)

  techniques.
• Deploy

  AI models on cloud platforms

  (AWS, GCP, Azure), ensuring scalability and reliability.
• Apply

  MLOps principles

  for continuous integration, continuous delivery, and monitoring of AI models.
• Develop and integrate

  APIs

  for model serving using frameworks like FastAPI, Flask, and orchestration tools like Kubernetes.
• [Optional] Explore and implement techniques such as fine-tuning, reinforcement learning (RLHF), and synthetic data generation.

Skills Required:

• Strong proficiency in

  Python

  and ML frameworks (

  TensorFlow, PyTorch, JAX

  ).
• Experience with

  LLMs (GPT, LLaMA, Claude, etc.)

  and image/video generation models.
• Knowledge of

  NLP, transformers, embeddings, and prompt engineering

  .
• Familiarity with

  vector databases (e.g., FAISS, Pinecone)

  and

  retrieval-augmented generation (RAG)

  .
• Experience deploying AI models on

  cloud platforms (AWS, GCP, Azure)

  .
• Understanding of

  MLOps, APIs, and model serving (FastAPI, Flask, Kubernetes)

  .
• Excellent problem-solving skills and a strong attention to detail.
• Strong communication and collaboration abilities.

Nice-to-Have Skills:

• Experience with

  LangChain, Hugging Face, OpenAI APIs

  .
• Background in

  image and video generation models (Stable Diffusion, DALL E, Midjourney)

  .
• Contributions to

  open-source AI projects

  .

QUALIFICATION:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, or equivalent practical experience.