Major Responsibilities:
- Implement DevOps best practices to optimize software development and deployment processes and update those best practices documentation.
- Design, deploy, and manage scalable Cloud infrastructure using AWS or Azure platforms.
- Support the implementation and tracking of DevOps maturity to drive continuous improvement.
- Apply Agile process knowledge to enhance workflow management and team collaboration.
- Collaborate with development teams to enhance the CI/CD pipeline and cloud-based solutions.
- Design, and implement AI/ML infrastructure on cloud platforms (such as AWS, Azure), ensuring scalability, security, reliability and optimization for ML workloads.
- Design, and build MLOps pipelines including model training, validation, and deployment using industry-standard tools and platforms.
- Collaborate with data scientists/software engineers to implement AI/ML workflows.
- Implement security best practices for AI/ML infrastructure and data management at scale.
- Evaluate technologies by Analysis of Alternatives and implement Proof of Concepts to quickly validate before implementation.
Basic Qualifications:
- Bachelor's or master’s degree in computer science, Engineering, or a related field with minimum of 4+ years hands-on experience in DevOps and MLOps roles.
- Hands-on experience in scripting languages such as Shell, Perl, or Python.
- Hands on experience in AWS or Azure Cloud platforms
- Experience with AWS-specific tools such as SageMaker, Cloud Formation
- Familiarity with open-source MLOps tools such as MLflow, Kubeflow, or TensorFlow, extended (TFX) for managing ML workflows and model lifecycles.
- Experience with Generative AI tools and frameworks.
- Knowledge of AI/ML frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Understanding of data management and ETL processes as well as handling large and diverse datasets.
- Excellent communication, interpersonal and problem-solving skills and ability to work independently and collaboratively.
- Adaptability to new technologies and methodologies.
Desired:
- Certifications in relevant technologies or platforms.
- Experience in the Energy or Industrial IoT sectors.
- Embrace the GE Vernova Way of Working principles:
- Innovation: Contribute to creative solutions and advancements in technology.
- Customers: Focus on delivering outstanding value and service.
- Lean: Apply efficient processes to maximize productivity.
- One Team: Collaborate effectively across diverse teams and disciplines.
- Accountability: Take responsibility for achieving excellence in all tasks and projects.
Relocation Assistance Provided: No
Top Skills
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it.
If we want our energy future to be different…we must be different.
Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver.
GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life.
Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
Gallery
