Description:

Jobgether is seeking a Senior Machine Learning Engineer to work remotely in the United States.
The role involves building and maintaining the core infrastructure for the development, training, deployment, and operation of machine learning models and pipelines.
Responsibilities include collaborating with cross-functional teams to optimize processes, manage large datasets, and ensure the scalability of machine learning solutions.
The position offers an exciting opportunity to work in a fast-paced environment and contribute to innovative projects while enhancing technical expertise.
Key accountabilities include designing and optimizing the infrastructure for the entire machine learning lifecycle, working with data engineers to curate datasets, leveraging AWS tools for model deployment, implementing automation best practices, troubleshooting data-related issues, and optimizing model scoring pipelines.

Requirements:

Candidates must have 5+ years of experience in machine learning engineering, data science, or data engineering roles.
A minimum of 3 years of hands-on experience in developing and implementing machine learning infrastructure and MLOps, specifically using AWS Sagemaker and Snowflake, is required.
Proficiency in Python and SQL is essential, along with strong expertise in automating processes using AWS tools.
Extensive experience in building and optimizing data pipelines to support machine learning models is necessary.
Familiarity with monitoring systems and metrics for evaluating model performance in production environments is required.
Prior experience with large language models (LLMs) and retrieval-augmented generation (RAG) applications is a plus.
A strong foundation in model monitoring, containerization, and orchestration within MLOps is expected.

The position offers medical, dental, and vision insurance for employees and their dependents.
Mental health support is provided through an Employee Assistance Program (EAP) and wellness platform subscriptions.
Employees enjoy flexible time off, including mental health days, volunteer days, and 14 paid company-wide holidays.
Paid parental leave is available, inclusive of adoptive parents.
Access to Employee Resource Groups (ERGs) supports a diverse and inclusive workplace.
A 401(k) plan with employer matching and immediate vesting is included.
Additional benefits encompass life insurance, accident insurance, disability coverage, and pet insurance.
Comprehensive spending accounts for healthcare, flexible spending, and commuting expenses are provided.
All necessary work-from-home equipment, such as a computer, keyboard, and mouse, will be supplied.