We are seeking a highly skilled Python Developer with 5-10 years of experience specializing in FastAPI, Generative AI, and MLOps practices. The ideal candidate should have hands-on expertise in building scalable, AI-driven applications and deploying them into production environments. You will collaborate with cross-functional teams to deliver real-world AI solutions.
Design, build, and maintain high-performance APIs using FastAPI.
Develop and integrate solutions using LangChain, LlamaIndex, or Autogen.
Train, fine-tune, and deploy Generative AI models.
Implement MLOps practices such as model versioning, monitoring, retraining, and automation pipelines.
Containerize applications with Docker and deploy to orchestration platforms like AWS ECS.
Collaborate closely with ML engineers, data scientists, and DevOps teams.
Maintain clean, scalable, and version-controlled code using Git.
5-10 years of experience in Python development and backend API frameworks, especially FastAPI.
Strong understanding of Machine Learning concepts and practical applications.
Hands-on experience with LangChain, LlamaIndex, or Autogen frameworks.
Proficiency in GenAI model training, fine-tuning, and deployment strategies.
Strong knowledge of MLOps practices including model lifecycle management.
Practical experience with Docker containerization and deployments (AWS ECS or similar).
Expertise in using Git for code collaboration and version control.
Knowledge of Natural Language Processing (NLP) and Deep Learning architectures.
Familiarity with cloud platforms like AWS, GCP, or Azure.
Experience with Vector Databases (e.g., FAISS, Pinecone).
Exposure to real-time data processing or event-driven architectures.
Added Advantage: Experience with PySpark for big data processing.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
What We Offer:
• Opportunity to work with cutting-edge technologies in a collaborative environment.
• Continuous learning and professional development opportunities.