What are the responsibilities and job description for the MLOps Engineer position at York Solutions, LLC?
looking for a Senior Software / ML Engineer with strong MLOps experience who can help bridge the gap between traditional data science work and production engineering.
This team has historically operated more like a traditional Data Science organization, with models being developed and trained primarily in Databricks. The team is now evolving toward a stronger engineering model where those machine learning outputs need to be operationalized and made available to real production systems.
The ideal candidate does not need to be a traditional Data Scientist. We are looking for someone who understands how machine learning models are developed, but whose strength is taking those models and making them usable in production through APIs, pipelines, infrastructure, monitoring, and downstream integrations.
Strong AWS experience remains important. Experience with Bedrock, Generative AI, or agentic AI is valuable, but this role is more heavily weighted toward traditional ML engineering and MLOps than pure LLM development.
Benefits:
York Solutions Offers a generous benefits package for eligible full-time employees:
- BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program)
- Delta Dental plan with 2 free cleanings and insurance discounts
- Eye Med Vision with annual check-ups and discounts on lens
- Life and Accidental Death Insurance paid by company
- John Hancock 401(k) Retirement Plan with discretionary company match
- Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance.
- Flexible work environment with some remote working opportunities
- Strong fun and teamwork environment
- Learning, development, and career growth
Salary : $90 - $95