onsite
AI Agentic / Machine Learning Cloud Consultant - Vertical Relevance
ML Engineer
Design, develop, and deploy end‑to‑end AI/ML solutions on cloud platforms, collaborating with clients and cross‑functional teams to deliver high‑impact, production‑grade models and services.
About the role
Key Responsibilities
- Architect, build, and operationalize AI/ML pipelines from data ingestion to model serving on cloud environments (AWS, Azure, GCP).
- Collaborate with client stakeholders to translate business problems into scalable machine‑learning solutions.
- Implement and fine‑tune models using frameworks such as TensorFlow and PyTorch, ensuring performance and reliability.
- Containerize applications with Docker and orchestrate deployments using Kubernetes for robust, reproducible production workloads.
- Provide technical guidance and mentorship to junior engineers and cross‑functional teams throughout the project lifecycle.
Requirements
- 5+ years of hands‑on experience developing and deploying machine‑learning models in cloud environments.
- Proficiency in Python and major ML frameworks (TensorFlow, PyTorch) with a strong grasp of model optimization techniques.
- Deep knowledge of cloud services (AWS, Azure, GCP) and infrastructure‑as‑code tools.
- Experience with containerization (Docker) and orchestration (Kubernetes) for scalable AI solutions.
- Excellent communication skills to interact with clients, gather requirements, and present technical concepts clearly.
Skills
pythontensorflowpytorchawsazuredockerkubernetes