onsite
AI Solutions Engineer - Cubet Techno Labs
Software Engineer
AI Solutions Engineer designing, developing, and deploying scalable AI/ML solutions using Python, TensorFlow, PyTorch, and AWS, with containerization via Docker and orchestration on Kubernetes to solve complex business challenges.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI/ML pipelines from data ingestion to model deployment.
- Develop production‑grade models in Python using TensorFlow or PyTorch, ensuring reproducibility and scalability.
- Containerize services with Docker and orchestrate with Kubernetes for high availability.
- Integrate models into AWS services (SageMaker, Lambda, ECS) and manage CI/CD pipelines.
- Collaborate with data engineers and product teams to translate business requirements into technical solutions.
Requirements
- 7+ years of experience in AI/ML engineering with a strong portfolio of deployed solutions.
- Proficiency in Python, SQL, and experience with TensorFlow/PyTorch frameworks.
- Hands‑on expertise with AWS, Docker, and Kubernetes for scalable deployments.
- Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Excellent communication skills and a passion for continuous learning.
Skills
pythonmachine learningawsdockerkubernetestensorflowpytorchsql