Machine Learning Engineer

Duration: 3+ years

Locations:  Multiple Locations

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 prototypes/solutions 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 CPU/GPU 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

Email tdushaj@proimproment.com for more information