Senior ML/AI Data Engineer

Minimum Education

• Bachelor’s degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)

Minimum Work Experience

• Requires deep functional knowledge with 6+ years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)

Required Skills/Knowledge

• Experience with C# (programming language; Database Design; Java (Programming Language); JavaScript (Programming Language); Machine Leaning Machine Learning Algorithms; Python (Programming Language); R (Programming Language); Software Engineering; SWL (Programming Language); Statistics
• Experience with Continuous Integration; Predictive Modeling
• Experience with compute clouds, creating database schemas, continuous deployment
• Experience with building ML/AI models using common methods withing R and Python
• Knowledge of Open CV Linux
• Seeks to acquire knowledge in area of specialty.
• Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.
• Ability to work independently.
• Demonstrated analytical skills.
• Demonstrated project management skills.
• Demonstrates a high level of accuracy, even under pressure.
• Demonstrates excellent judgment and decision-making skills.
• Possesses technical aptitude.
• Excellent verbal and written communication skills, communicate complex findings in a clear and understandable manner
• Excellent facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation
• Attention to detail.
• Communicate complex findings in a clear and understandable manner
• Collaborate effectively with cross-functional teams
• Adapt to changing priorities and thrive in a dynamic environment

Functional Accountabilities

• Designs, develops, and conducts research around complex Machine Learning (ML) systems, models, and schemes to apply to appropriate datasets for data modeling and statistical analysis

• Identifies differences and complex use cases of ML algorithms and apply findings to enable business decisions by deriving insights through data visualization

• Maintains and supports ML/AI software platforms by reviewing and solving issues and running ML/AI models

• Communicates business objectives and develops complex models that help to achieve them, along with metrics to track progress

• Writes complex software documentation and complex software code to extract data from a variety of databases and data sources

• Manages available resources such as hardware, data, and personnel so that the deadlines are met and deploy predictive models using established software patterns

• Analyze the ML algorithms that could be used to solve a given problem and rank them by their success probability.

• Explores and visualizes data to gain an understanding of it and verify data quality, and/or ensure data quality via data cleaning

• Analyses errors of the model and implements strategies to overcome errors

• Performs other duties as assigned.

• Complies with all policies and standards.

Organizational Accountabilities

• Anticipate and responds to customer needs; follows up until needs are met

Teamwork/Communication

• Demonstrate collaborative and respectful behavior

• Partner with all team members to achieve goals

• Receptive to others’ ideas and opinions

Performance Improvement/Problem-solving

• Contribute to a positive work environment

• Demonstrate flexibility and willingness to change

• Identify opportunities to improve clinical and administrative processes

• Make appropriate decisions, using sound judgment

Cost Management/Financial Responsibility

• Use resources efficiently

• Search for less costly ways of doing things

Safety

• Speak up when team members appear to exhibit unsafe behavior or performance

• Continuously validate and verify information needed for decision making or documentation

• Stop in the face of uncertainty and takes time to resolve the situation

• Demonstrate accurate, clear and timely verbal and written communication

• Actively promote safety for patients, families, visitors and co-workers

• Attend carefully to important details - practicing Stop, Think, Act and Review in order to self-check behavior and performance