Python Gen AI Developer

5 days ago

Mumbai, Maharashtra, India Xoriant Full time ₹ 6,00,000 - ₹ 18,00,000 per year

About the Role:

We are seeking a skilled Python Developer with hands-on experience in Large Language Models (LLMs) and a strong background in AI/ML projects. You will play a key role in designing, developing, and deploying intelligent systems and scalable solutions using Python and modern AI/ML techniques. If you're passionate about working at the intersection of software engineering and machine learning, wed love to hear from you.

Key Responsibilities:

Design, implement, and optimize Python applications integrating LLMs (e.g., OpenAI, HuggingFace Transformers, LLaMA, etc.) Develop end-to-end AI/ML pipelines data preprocessing, model training, evaluation, and deployment. Fine-tune, prompt, or customize pre-trained language models for specific business use cases. Collaborate with data scientists, ML engineers, and product teams to build innovative AI solutions. Build APIs and microservices to serve AI/ML models in production environments. Monitor and improve model performance and scalability over time. Ensure code quality, documentation, and version control (Git).

Requirements:

Strong proficiency in Python and its ML libraries (NumPy, Pandas, scikit-learn, etc.) Experience with LLMs and frameworks like Hugging Face Transformers, OpenAI API, or LangChain Familiarity with fine-tuning or prompt engineering for LLMs Solid understanding of ML concepts (supervised/unsupervised learning, NLP, embeddings, etc.) Experience with ML frameworks: TensorFlow, PyTorch, or similar Proficiency with RESTful APIs, FastAPI or Flask Knowledge of data pipelines, cloud platforms (AWS, GCP, or Azure), and ML model deployment Good understanding of version control (Git), testing, and CI/CD practices Excellent problem-solving and communication skills

Preferred Qualifications:

Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB) Familiarity with LangChain, RAG pipelines, or semantic search Knowledge of Docker, Kubernetes, and model serving frameworks (e.g., TorchServe, Triton) Previous experience in building chatbots, recommendation systems, or generative AI applications

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