Software Engineer II - AI & Data Engineering
Indexed description
Key Responsibilities
- Design, build, and deploy ML/DL models for real-world use cases.
- Develop LLM-powered applications, including RAG pipelines, embeddings, vector databases, and prompt engineering workflows.
- Build scalable Python APIs, microservices, and backend services for AI systems.
- Implement MLOps pipelines for model training, deployment, monitoring, and optimization.
- Collaborate with cross-functional teams to deliver scalable AI solutions
- Bachelor's in CS, SE, AI, Data Science, or related field.
- 2+ years of experience in AI/ML/Data Engineering.
- Strong hands-on experience with Python, SQL, PyTorch, TensorFlow, Scikit-learn, Hugging Face.
- Experience with LLMs, RAG, embeddings, vector databases, LoRA/PEFT.
- Experience with FastAPI/Flask, Docker, Kubernetes, CI/CD, and cloud platforms (AWS/Azure/GCP).
- Strong understanding of ML fundamentals, NLP, scalable system design, and production AI deployments
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