Number of Applicants
:000+
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Key Responsibilities
Technical Leadership
Lead end\-to\-end design and development of AI/ML and GenAI\-based solutions
Define system architecture for scalable, secure, and high\-performance Python applications
Review code, enforce best practices, and ensure high\-quality deliverables
Mentor and guide junior developers and ML engineers
Machine Learning & GenAI
Design, train, and deploy ML and deep learning models
Build Generative AI solutions using LLMs (GPT, Claude, LLaMA, Mistral, etc.)
Implement RAG (Retrieval\-Augmented Generation) pipelines using vector databases
Fine\-tune LLMs using LoRA / PEFT / RLHF techniques
Apply NLP, computer vision, or recommendation algorithms as needed
Backend & MLOps
Develop REST/GraphQL APIs using FastAPI / Flask / Django
Implement MLOps pipelines for model training, versioning, and deployment
Work with Docker, Kubernetes, and CI/CD pipelines
Monitor model performance, drift, and system reliability in production
Data & Cloud
Collaborate with data engineers on data pipelines and feature engineering
Work with cloud platforms: AWS / Azure / GCP
Integrate with databases: PostgreSQL, MongoDB, Redis
Use vector databases: Pinecone, FAISS, Weaviate, Milvus
Required Skills
Core Technical Skills
Expert\-level Python (OOP, async, performance optimization)
Strong understanding of data structures, algorithms, and system design
Hands\-on experience with FastAPI / Flask / Django
Machine Learning & GenAI
Solid experience with scikit\-learn, TensorFlow, PyTorch
Strong NLP fundamentals (transformers, embeddings, tokenization)
Experience with LangChain / LlamaIndex / Semantic Kernel
Prompt engineering and LLM evaluation techniques
Education
Bachelorâs or Masterâs degree in Computer Science, AI, Data Science, or related field
Relevant certifications in AI/ML or Cloud are a plus
Experience
7+ Years
