Senior Machine Learning Engineer - (Remote - US)
Description For Senior Machine Learning Engineer - (Remote - US)
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 bring 5+ years of experience in ML engineering, with specific expertise in AWS SageMaker and MLOps.
The position offers an exciting opportunity to work on innovative projects while collaborating with cross-functional teams. You'll be responsible for optimizing processes, managing large datasets, and ensuring the scalability of machine learning solutions. Key responsibilities include designing ML infrastructure, managing data pipelines, and implementing cloud-based solutions using AWS tools.
The role requires strong technical expertise in Python and SQL, along with experience in model monitoring and containerization. Knowledge of large language models (LLMs) and RAG applications is valued. The company offers a comprehensive benefits package including health insurance, mental health support, flexible time off, and 401(k) matching.
This is an excellent opportunity for an experienced ML professional looking to make a significant impact in a fast-paced environment while working with cutting-edge AI technology. The remote work setting provides flexibility while maintaining connection through various employee support programs and resources.
Responsibilities For Senior Machine Learning Engineer - (Remote - US)
- Design, develop, and optimize infrastructure for machine learning lifecycle
- Work with data engineers to curate datasets and manage data pipelines
- Deploy and migrate models to AWS cloud environments using SageMaker
- Implement automation best practices for model deployment
- Collaborate with stakeholders to troubleshoot data-related technical issues
- Optimize model scoring pipelines for performance and latency
Requirements For Senior Machine Learning Engineer - (Remote - US)
- 5+ years of experience in machine learning engineering, data science, or data engineering
- 3+ years experience in MLOps using AWS Sagemaker and Snowflake
- Proficiency in Python and SQL, with AWS tools expertise
- Experience in building and optimizing data pipelines
- Familiarity with monitoring systems and metrics for model performance
- Experience with large language models (LLMs) and RAG applications preferred
- Strong foundation in model monitoring, containerization, and orchestration
Benefits For Senior Machine Learning Engineer - (Remote - US)
- Medical, dental, and vision insurance for employees and dependents
- Mental health support through EAP and wellness platform
- Flexible time off including mental health days and volunteer days
- 14 paid company-wide holidays
- Paid parental leave including adoptive parents
- Employee Resource Groups (ERGs)
- 401(k) plan with employer matching and immediate vesting
- Life insurance, accident insurance, disability coverage, and pet insurance
- Healthcare, flexible spending, and commuting expense accounts
- Work-from-home equipment provided
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