remoteonsite
Agentic AI Engineer - Shree Hr services
AI Engineer
Agentic AI Engineer building end‑to‑end AI solutions with Python, deep learning, NLP and reinforcement learning, deploying scalable models on AWS and containerized environments.
About the role
Key Responsibilities
- Design, prototype, and deploy production‑grade AI models using Python, deep learning frameworks, and NLP techniques.
- Collaborate with senior architects and data scientists to translate architectural blueprints into scalable, maintainable systems.
- Implement reinforcement learning pipelines and evaluate agent performance in real‑world scenarios.
- Containerize models with Docker, orchestrate deployments on AWS services (SageMaker, ECS, Lambda).
- Monitor model health, optimize latency and throughput, and iterate on model improvements.
Requirements
- 3+ years of experience in AI/ML engineering with a strong portfolio of deployed models.
- Proficiency in Python, TensorFlow/PyTorch, and NLP libraries (spaCy, Hugging Face).
- Hands‑on experience with reinforcement learning frameworks (RLlib, Stable Baselines).
- Solid understanding of cloud deployment (AWS) and containerization (Docker, Kubernetes).
- Excellent problem‑solving skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonmachine learningdeep learningnlpreinforcement learningawsdocker