Description

You will own the design, build, and deployment of machine learning systems.

Responsibilities

• Design and implement end-to-end ML pipelines.
• Develop and train models using deep learning frameworks.
• Containerize and orchestrate ML services using containerization tools.
• Manage and deploy workloads on cloud infrastructure.

Required Skills

• 8+ years of professional experience in ML Engineering.
• Expert proficiency in Python.
• Hands-on experience with TensorFlow and PyTorch.
• Proven experience building and maintaining ML pipelines.
• Experience with distributed processing frameworks like Spark.
• Proficiency with containerization using Docker.
• Familiarity with orchestration tools such as Kubernetes.
• Working knowledge of major cloud providers (AWS, Azure, GCP).

Key Skills

Education

Any Gradute