Machine Learning Engineer

TITLE: Machine Learning Engineer

LOCATION: Remote

PAY: Target pay for this role is between $90K and $120K but may vary based on experience

ENGAGEMENT TYPE: Direct Hire

WHAT YOU’LL BE DOING

• This is a Senior level Machine Learning Engineer position.

We’re seeking a machine learning engineer to usher in our own information revolution. The software and technology you’ll use to do that – Databricks, AWS, and MLflow. With experience and skills in automating the deployment of data science models and building repeatable pipelines.

RESPONSIBILIES:

• Recommend and implement the operationalization of data science / machine learning / AI analytics solutions using expertise in cloud architecture and MLOps.

• Take part in the entire model lifecycle and pipeline building from requirements development to deployment.

• Partner with data scientists, analytics solutions architects, and data engineers to support the model pipeline, including data ETL, data lakes, data catalogs, data labeling systems, model training, model deployment & inference, algorithm orchestration, model monitoring, and model update/retraining.

• Develop end-to-end Data/Dev/MLOps pipelines based on in-depth understanding of model lifecycle to ensure analytics solutions are delivered rapidly, efficiently, predictably, and sustainably.

• Support lifecycle management of deployed ML apps life cycle management (e.g. new releases, change management, monitoring and troubleshooting).

• Enhance and improve the code deployment and model monitoring frameworks and project operations documentation.

WHO WE’RE LOOKING FOR

• Knowledge and experience with MLOps as a practice, including experience in MLOps using at least one of the popular frameworks or platforms (e.g., Databricks, MLFlow, AWS Sagemaker). Minimum 4 years of design and production automation (build, validate, deploy, test automation) end-to-end automated data and ML pipelines, including within cloud webservices (AWS, Azure, Databricks), data lake platforms, and machine learning platforms.

• Minimum 4 years of experience working in an AI / ML / data science context alongside Data Scientists and/or ML Engineers

• Demonstrated experience with data ETL/ELT and processing technologies such as SSIS, Apache Airflow, Apache Spark, and Fivetran.

• Please NO Third Party Applicants

ABOUT OUR CLIENT

• Our client is a mission driven organization, you will find a supportive and collaborative environment, and work with a team of collaborative and competent people with a passion for helping others.

WHY ProFocus:

• Candidates come first. ProFocus is a five-time award winner for Best in Staffing for Talent Satisfaction due to our World-Class service to our amazing candidates.

• Quality process. We invest the time to learn about your skills, experience, and career goals in detail so we can find you a position that is a great fit.

• Access to hiring managers. We have close relationships with some of the most respected companies, from small businesses to Fortune 500 companies. Due to those relationships, we can provide direct access to managers and positions that may not be available anywhere else.

• Excellent benefits. We offer medical, dental, vision, 401k, education reimbursement, sick leave, and employer-paid short-term disability and life insurance. Review our detailed benefits here.

Want to learn more? Contact one of our recruiters here or email [email protected].

Please email us your resume to apply: [email protected]

Visit our Job Seekers page to learn more and review other opportunities.

ProFocus is an equal opportunity employer. We value diversity in our workplace and encourage all qualified applicants regardless of race, color, age, sex, religion, national origin, physical or mental disability, pregnancy, marital status, veteran or military status, genetic information, sexual orientation, or any other characteristic protected by federal, state, or local laws.