Job Details

Machine Learning (ML) / Artificial Intelligence (AI) [ No C2C or OPT ]

Advertiser
PMC
Location
Troy, Michigan, United States
Rate
-
Duration 3+ years Locations Washington DC Role Title Machine Learning Engineer This role is to work with the Data Science team to develop and deploy machine learning solutions of the enterprise application and data landscape. Over eight (8+) years of data science and analytics design and development with good business skills The following functions are the responsibility of the ML Engineer within Data Science Team. Position Responsibilities Responsibilities includes, but are not limited to the following Design, build, deploy, monitor and support production deployment of data science solutions Research and implement ML algorithms and tools as a proof-of-concept and move it to the production-ready state Select appropriate datasets and data representation methods Optimize and transform data science prototypessolutions for speed, reliability, and scale Implementing parallelization using spark, Kubernetes, etc Testing different platform stacks for performance and efficiency Providing scalability by planning, designing and deploying on the appropriate CPUGPU clusters Collaborate cross-functionally with domain experts to identify gaps and structural problems Present findings and discuss project results with business units Analyzing, extracting, and optimizing relevant information from large amounts of data to help drive business decisions on product features and operational efficiency SQL knowledge is must Competencies Knowledge of 7 + years of Python Data mining experience Deep knowledge of statistics and practical implementations of computational statistics Predictive modeling and algorithms Knowledge of in reporting and data visualization

Send application

Mail this job to me so I can apply later

Apply With CV

You are not logged in. If you have an account, log in to your account. If you do not have an account, why not sign up? It only takes a minute!

latest videos

Upcoming Events