Machine Learning Engineer

Akkodis is seeking a Machine Learning Engineer for a full-time / direct-hire position that is 2-3 days hybrid in Washington, DC. Ideally, looking for a Machine Learning Engineer is to aid in the designing, training, experimenting, production deployment, and monitoring of machine learning models that are developed in alignment with our mission - to build and grow a global AI-optimised scheduling and forecasting platform that will empower and reward people within the fast-food and Quick Service Restaurant (QSR) industry.

JOB TITLE : Machine Learning Engineer

EMPLOYMENT TYPE : Full-Time / Direct Hire

LOCATION DETAILS : Washington, DC (Onsite)

Salary Range : $130 - $150K / Annum (Salary may be negotiable based upon experience, education, geographic location, and other factors

Responsibilities :

• Build and test machine learning models to support the client platform
• Design, build, and deploy data and machine learning pipelines on AWS
• Enable an iterative lifecycle for data products to continuously improve, integrate and deploy
• Bring data science workflows, analysis, and modeling into a healthy state of standardization, evaluation, deployment and observability in production.
• Build observability and monitoring of ML models & experiments
• Work collaboratively across teams to ensure a holistic MLOps process connecting modeling with engineering standards
• Embrace a dynamic startup environment.

Required Qualifications :

Preferred Qualifications :