Senior Staff MLOps Engineer – Power Systems

Key Skills

Aartificial intelligence, Amazon RDS, API, AWS, Continuous Integration & Continuous Delivery - CI/CD, Data Architecture, Data science techniques, DynamoDB, Effective communication skills, Employee life cycle, ETL frameworks, Keras software library, Machine learning techniques, MLOps tools, NoSQL, NumPy, Pandas, PyTorch, TensorFlow

Job Description

In this role, you will: 

• Work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust, highly scalable AI infrastructure and deployment services for our novel machine learning applications.
• Leverage skills in modern data architecture, cloud engineering, data transformation, and management of structured and unstructured data sources.
• Design and build high-quality, scalable, and secure AI/ML models and applications on the AWS platform.
• Establish and set up model life cycle management with tools like MLFlow, etc.
• Develop and implement strategies for optimizing the performance and scalability of machine learning models in production.
• Collaborate with cross-functional teams to understand their needs and develop innovative solutions.
• Implement and maintain data pipelines for AI/ML models.
• Monitor and optimize the performance of AI/ML models in production.
• Stay up-to-date with the latest AI/ML technologies and best practices and help promote their adoption within the organization.
• Develop and maintain automation tools and processes for deploying and scaling machine learning models.
• Ensure the security and compliance of the machine learning infrastructure, including data privacy and protection regulations.

Basic Qualifications: 

• Master’s degree in Computer Science, Electrical Engineering, Data Science or related field with 12+ years professional experience

Requirements:

• Hands-on experience in developing ML infrastructure and MLOps in the Cloud using AWS SageMaker.
• Experience with workflow and data management solutions such as Airflow, Arrow, Kafka, IoT, Glue, etc.
• Hands-on experience in operationalizing AI/ML models, particularly in the power systems domain.
• Familiarity with power systems apps and data, including SCADA, PMU, and EMS data.
• Experience in building large scale batch, data pipelines, and ETL pipeline with data processing frameworks in AWS. 
• Strong understanding of machine learning algorithms, model evaluation, and optimization techniques.
• Hands-on experience with model development and deployment including training, validation, and monitoring.

Preferred Qualifications: 

• Hands-on expertise in Machine Learning frameworks and ecosystem, such as TensorFlow, Keras, PyTorch, numpy, and panda.
• Hands-on experience with container orchestration technologies such as Docker, Kubernetes, ECS.
• Experience with CI/CD tools and version control.
• Experience in relational and NoSQL databases (DynamoDB, EKS, RDS, graph etc.), API and in-memory technologies.
• Experience with data engineering and ETL processes.
• Strong problem-solving skills, excellent written and verbal communication skills, and the ability to work in a fast-paced, dynamic environment.

Personal Attributes: 

• Challenges conventional thinking and traditional ways of operating with conviction and vision; invites stakeholders to identify issues and opportunities; grounded in today’s realities in driving the future collaboratively.
• Takes a holistic systems perspective. Envisions, compares, and contrasts multiple potential long-range enterprise- wide futures. Empathizes with multiple points of view. 
• Passion around the customer and conviction around problems worth solving. Desire for growth, innovation, creativity, curiosity, and collaboration. 

At GE Digital, our focus is clear: delivering software that accelerates a new era of energy. We deliver software that accelerates electrification and decarbonization across the energy ecosystem - from how power is created, to how it is orchestrated, to how it is consumed. Using data, we transform how our customers solve their toughest challenges. By improving the energy ecosystem to be more intelligent and efficient, we’re helping create reliable, affordable, and sustainable energy for all.

GE Digital delivers software that:

Reduces emissions & waste today through efficiency insights

Orchestrates a secure, clean energy grid

Accelerates the transition to zero- and low-carbon energy resources

THE ENERGY TO CHANGE THE WORLD

The salary range for this position is 120,800.00 - 151,000.00 USD Annual]. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. In addition, this position is eligible for [a performance bonus/variable incentive compensation/equity]. Available benefits include Medical, Dental, and Vision. *Please note, the benefits can be Health, Medical, 401K, Paid Leave.

Additional Information

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).