AI/ML Engineer

Job Description :

Key Responsibilities :

- Design, develop, and deploy advanced Machine Learning and AI solutions.

- Work with deep learning architectures including CNNs, RNNs, and Transformers.

- Develop solutions using Reinforcement Learning, NLP, Computer Vision, or other domain-specific AI technologies.

- Build and optimize ML models using Python or C++.

- Develop AI applications using frameworks such as PyTorch, TensorFlow, and Hugging Face.

- Build production-grade AI systems using cloud and modern MLOps practices.

- Develop and manage scalable ML pipelines and data pipelines.

- Work with relational, NoSQL, and vector databases to support AI workloads.

- Containerize and deploy ML applications using Docker and Kubernetes.

- Implement CI/CD pipelines for automated model development and deployment.

- Optimize AI systems for performance, scalability, reliability, and production readiness.

Requirements :

- Advanced ML/AI : Deep expertise in deep learning (CNNs, RNNs, Transformers), reinforcement learning, and domain-specific areas like NLP or computer vision.

- Engineering Excellence : Proficiency in Python or C++ and experience with frameworks like PyTorch, TensorFlow, and Hugging Face.

- Infrastructure and MLOps : Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines for production-grade AI systems.

- Data Management : Strong background in RDBMS, NoSQL, and vector databases, as well as building robust data pipelines.

Preferred Candidate Profile :

- Strong hands-on experience in developing and deploying production-grade AI/ML systems.

- Excellent understanding of modern deep learning and ML architectures.

- Experience taking models from development to production.

- Strong problem-solving and analytical skills.

- Ability to work across data science, engineering, and infrastructure teams.

Skills

Artificial Intelligence, Machine Learning, Deep Learning, NLP, Computer Vision, Python, PyTorch, Tensorflow, MLOps