Machine Learning Engineer

Job Tittle: Machine Learning Engineer
Location: FULLY remote in the US working PST Hours
Duration: 9+ month contracts with chance to extend / convert down the road
Required Skillset:

• 5+ years of Machine Learning experience
• Databricks
• AWS Sagemaker
• Python
• SQL
• Client Models, Client Ops experience
• Data preprocessing

Preferred experience:
- AWS bedrock, LLMs , LLMOps, Computer Vision, Motion Capture
Job description:
Responsibilities:

• Build and maintain scalable infrastructure for machine learning model & pipeline deployment, including containerization & orchestration.
• Develop and maintain scalable & secure REST APIs for serving multiple machine learning models to various users.
• Collaborate with data scientists and software engineers to ensure seamless integration of Client models into our systems.
• Design and optimize data pipelines, data storage, and data processing systems to support the training and inference processes of machine learning models.
• Build and maintain data and model dashboards to monitor model performance and health in production environments.
• Collaborate with cross-functional teams to identify and address data quality, data governance, and security considerations in the context of Client operations.
• Monitor model performance and health in production environments, establishing and maintaining appropriate monitoring and alerting mechanisms.

Requirements:

• Required
• Bachelor's degree in Computer Science, Data Science, or a related field. A Master's or Ph.D. degree is a plus.
• 5+ years of hands-on experience in Client operations, Client engineering, or related roles.
• Experience with AWS & Databricks cloud platforms, specifically AWS Sagemaker, AWS Jumpstart, & AWS Bedrock.
• Experience with REST API development, AWS Networking Protocols
• Solid understanding of infrastructure components and technologies, including containerization (e.g., Docker) and CI/CD pipelines
• Strong knowledge of software engineering principles and best practices, including version control, code review, and testing.
• Excellent problem-solving skills, with the ability to analyze complex issues and provide innovative solutions in a fast-paced environment.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
• Preferred
• Familiarity with load balancing, EKS (Kubernetes), & latest serving Client Model Serving Techniques (ex. NVIDIA Triton).
• Familiarity with the Hugging Face Diffusers Library