onsite
AI/ML Engineer - Camncloud
ML Engineer
AI/ML Engineer designing, training, and deploying advanced machine learning models using Python, TensorFlow, and PyTorch, with expertise in NLP, computer vision, and generative AI, while building robust data pipelines and ensuring production reliability.
About the role
Key Responsibilities
- Design, develop, train, and deploy machine learning models across structured and unstructured data.
- Build and maintain scalable data pipelines for model training and inference.
- Implement deep learning, NLP, computer vision, or generative AI solutions as required.
- Evaluate model performance, optimizing accuracy, latency, and scalability.
- Collaborate with data scientists, software engineers, and business stakeholders to align solutions with business goals.
- Monitor production models, orchestrate retraining, and document architecture, experiments, and deployment processes.
Requirements
- Strong proficiency in Python and experience with TensorFlow or PyTorch.
- Hands‑on experience with NLP, computer vision, or generative AI projects.
- Solid understanding of data pipeline construction and model deployment best practices.
- Ability to evaluate and optimize model performance metrics.
- Excellent communication skills for cross‑functional collaboration.
Skills
pythontensorflowpytorchnlpcomputer visiongenerative ai