Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Jobgether, an AI-driven Talent Matching Platform, is seeking a Senior Machine Learning Engineer to join their team in a remote capacity within the United States. This role focuses on building and maintaining core ML infrastructure, supporting the entire lifecycle from development to deployment. The ideal candidate will have 5+ years of experience in ML engineering, with strong expertise in Python, SQL, and AWS tools, particularly SageMaker. The position offers comprehensive benefits including health insurance, mental health support, flexible PTO, and 401(k) matching. This is an excellent opportunity for experienced ML professionals looking to work with cutting-edge technology while contributing to innovative projects in a fast-paced environment. The role involves collaboration with cross-functional teams, managing large datasets, and ensuring the scalability of machine learning solutions. The company provides a supportive work environment with emphasis on work-life balance and professional growth.
Responsibilities For Senior Machine Learning Engineer
- Design, develop, and optimize the infrastructure required for the entire machine learning lifecycle
- Work closely with data engineers to curate high-quality datasets and manage data pipelines
- Leverage AWS tools (such as SageMaker) to deploy and migrate models to cloud environments
- Implement automation best practices to streamline model deployment
- Collaborate with stakeholders to troubleshoot and resolve data-related technical issues
- Optimize model scoring pipelines to improve performance, minimize latency, and address errors
Requirements For Senior Machine Learning Engineer
- 5+ years of experience in machine learning engineering, data science, or data engineering roles
- At least 3 years of hands-on experience in developing and implementing machine learning infrastructure and MLOps
- Proficiency in Python and SQL, with strong expertise in automating processes using AWS tools
- Extensive experience in building and optimizing data pipelines
- Familiarity with monitoring systems and metrics for evaluating model performance
- Prior experience with large language models (LLMs) and RAG applications is a plus
- Strong foundation in model monitoring, containerization, and orchestration within MLOps
Benefits For Senior Machine Learning Engineer
- Medical, dental, and vision insurance for you and your dependents
- Mental health support through Employee Assistance Program (EAP) and wellness platform subscriptions
- Flexible time off, including mental health days and volunteer days
- 14 paid company-wide holidays
- Paid parental leave, inclusive of adoptive parents
- Access to Employee Resource Groups (ERGs)
- 401(k) plan with employer matching and immediate vesting
- Life insurance, accident insurance, disability coverage, and pet insurance
- Comprehensive spending accounts for healthcare, flexible spending, and commuting expenses
- All necessary work-from-home equipment provided
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