Python Gen AI Developer

Industry: IT Services & Consulting

Department: Data Science & Analytics
Employment Type: Full-Time, PermanentRole Category: Data Science & Machine Learning

About the Role:

We are looking for a talented Python Developer with practical experience working on Large Language Models (LLMs) and AI/ML projects. This role involves designing and deploying intelligent applications and scalable systems using cutting-edge machine learning techniques and Python-based frameworks. If you're enthusiastic about bridging software development and AI innovation, this opportunity is for you.

Key Responsibilities:

• Design and build Python applications that integrate with advanced LLMs such as OpenAI, Hugging Face Transformers, or LLaMA.
• Create robust, end-to-end ML pipelines, covering data processing, model training, evaluation, and deployment.
• Customize or fine-tune pre-trained language models to align with business-specific requirements.
• Collaborate with cross-functional teamsdata scientists, ML engineers, and product managersto develop AI-driven features.
• Develop APIs and microservices to serve ML models in production using FastAPI or Flask.
• Monitor and enhance model performance, reliability, and scalability.
• Ensure clean, maintainable code with proper documentation and version control (Git).
• Requirements:
• Proficient in Python and key ML libraries such as NumPy, Pandas, and scikit-learn.
• Experience with Large Language Models and tools like Hugging Face Transformers, LangChain, or OpenAI API.
• Understanding of prompt engineering and fine-tuning LLMs.
• Strong knowledge of machine learning concepts including NLP, embeddings, and supervised/unsupervised learning.
• Familiarity with frameworks such as TensorFlow or PyTorch.
• Hands-on experience building RESTful APIs and microservices using FastAPI or Flask.
• Exposure to cloud environments (AWS, Azure, GCP) and model deployment practices.
• Proficient with Git and CI/CD workflows.
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

• Experience working with vector databases like FAISS, Pinecone, or ChromaDB.
• Familiarity with LangChain, Retrieval-Augmented Generation (RAG), or semantic search systems.
• Understanding of containerization and orchestration tools like Docker and Kubernetes.
• Prior involvement in building chatbots, recommendation engines, or generative AI solutions.