100% Remote position
Our client, a Global Giant in Video Game Publishing and Distribution, is looking to engage a Senior ML Engineer (MLOps) with demonstrated professional experience operationalizing ML models built leveraging Databricks, to join a team that supports a variety of business-critical data-driven initiatives. In this role, you will be helping to support decisions that will contribute to the Company s outstanding growth and market leadership.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities:
- Hands-on experience operationalizing ML models that have been created by a Data Science team
- Professional experience leveraging MLFlow within MLOps is HIGHLY desired
- Working with Data scientists, design, develop and maintain pipelines that support the deployment of ML models and algorithms, monitors data drift and integrate with downstream applications.
- Design, develop and maintain high-capacity and scalable data and ML pipelines.
- Design, develop and maintain API based or file based ETL/ELT processes for raw data collection from multiple sources.
- Collaborate with other data engineers, data scientists and business intelligence engineers to build data and machine learning solutions.
- Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow.
- Develop and support continuous integrations build and deployment processes using Jenkins, Docker, Git, etc.
- Define and implement monitoring and alerting policies for data solutions.
Requirements:
- 7+ years of professional experience concentrated on Machine Learning engineering, with at least 2+ years of professional experience with Databricks (specifically for ML - not data engineering) - including experience with Unity Catalog and Asset Bundling
- Professional experience operationalizing Machine Learning / Data Science models
- MLOps experience (required)
- MLFow is a MAJOR Plus
- PySpark (required)
- MUST have strong experience with Future store and Model store
- Python (required)
- SQL (required)
- Experience with designing (end-to-end), implementing and extending complex data pipelines
- Experience with DataFrames
- Git (required)
- Developing solutions using Docker (required)
- Data modeling for data warehousing (required)
- Developing microservices (nice to have)
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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Job ID: 383407