remote
AI/ML Engineer - Akaasa Technologies
ML Engineer
Senior AI/ML Engineer responsible for building, training, and deploying production‑grade machine‑learning and generative‑AI models that enhance clinical and operational decision‑making on a cloud‑native platform.
About the role
Key Responsibilities
- Design, develop, and productionize end‑to‑end ML pipelines, including feature engineering, model training, and deployment.
- Implement and maintain scalable serving infrastructure on AWS using Docker and Kubernetes.
- Integrate LLM/GenAI solutions, ensuring robust evaluation, monitoring, and drift detection.
- Collaborate with data scientists, clinicians, and product teams to translate business requirements into technical solutions.
- Establish MLOps best practices, including CI/CD, model versioning, and automated testing.
Requirements
- 8+ years of experience in applied machine learning and AI engineering.
- Proficiency in Python, deep learning frameworks (PyTorch/TensorFlow), and cloud services (AWS).
- Hands‑on experience with Docker, Kubernetes, and MLOps tooling.
- Strong background in LLM/GenAI model deployment and monitoring.
- Excellent communication skills and ability to work in a remote, cross‑functional team.
Skills
pythonmachine learningdeep learningawsdockerkubernetesmlops