AI Developer (Python / EDA / LLM / Predictive Modeling)

About the Role

AI Developer

Key Responsibilities:

• Develop, train, and deploy

  machine learning and AI models

  for various business applications (forecasting, recommendations, automation, etc.)
• Conduct

  exploratory data analysis (EDA)

  , feature engineering, and data cleaning using Python (Pandas, NumPy, Matplotlib, Seaborn).
• Build and fine-tune

  LLM-based pipelines

  (e.g., OpenAI, HuggingFace, LangChain, or local inference setups).
• Implement

  predictive and classification models

  using libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Integrate AI outputs into

  production systems and APIs

  in collaboration with backend engineers.
• Work with

  large datasets (structured & unstructured)

  from MongoDB, SQL, and other sources.
• Participate in

  model evaluation, optimization, and performance tracking

  .
• Research and prototype

  new AI tools, libraries, and workflows

  relevant to the company’s business domains.

Required Skills & Qualifications:

• Bachelor’s degree in

  Computer Science, Data Science, AI/ML

  , or related field.
• 1–2 years of hands-on experience in

  AI/ML or data-driven application development

  .
• Proficiency in

  Python

  and major AI/ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Strong understanding of

  EDA, statistics, feature engineering, and data visualization

  .
• Familiarity with

  LLM frameworks

  (LangChain, HuggingFace Transformers, OpenAI API, etc.).
• Experience in

  data cleaning, transformation, and model evaluation

  .
• Knowledge of

  REST APIs, FastAPI/Flask

  for model deployment preferred.
• Strong analytical thinking and problem-solving mindset.
• Good communication and collaboration skills.

Good to Have:

• Experience with

  vector databases

  (e.g., Pinecone, FAISS, Typesense, Weaviate).
• Knowledge of

  prompt engineering and RAG (Retrieval-Augmented Generation)

  .
• Exposure to

  MLOps / model lifecycle management

  (e.g., MLflow, Docker).
• Interest in

  LLM fine-tuning, embeddings, and generative AI applications

  .
• Familiarity with

  Git, Docker, and CI/CD pipelines

  .

What We Offer:

• Opportunity to work on

  cutting-edge AI projects

  integrated with live enterprise systems.
• Exposure to

  LLM, analytics, and automation use cases

  across e-commerce and business domains.
• Supportive in-house environment with mentoring and growth opportunities.
• Competitive compensation & performance incentives.