GE Vernova

Director of Data Analytics, Artificial Intelligence (AI) Solutions

GE Vernova

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $152,400 - $254,000 per year

Job Level

Lead

Tech Stack

AWSAzureCloudDockerHadoopJavaKafkaKubernetesMicroservicesNoSQLPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

  • Develop and execute Grid Automation’s AI/ML strategy, aligning it with business goals
  • Build, mentor, and lead a diverse team of data scientists, machine learning engineers, and AI specialists
  • Act as the thought leader for AI/ML technology
  • Drive innovation in AI methodologies
  • Oversee the design of robust machine learning pipelines and data workflows
  • Ensure that AI/ML solutions are scalable, efficient, and integrate seamlessly with existing systems and data infrastructure
  • Define and track key performance indicators (KPIs) for AI/ML models
  • Monitor, maintain, and optimize deployed AI/ML models
  • Stay informed of regulatory requirements around data privacy, security, and ethics
  • Collaborate with product managers, engineering teams, and other functions
  • Foster an environment of continuous learning

Requirements

  • Master’s/PhD Degree in computer science, electrical engineering, or electric power engineering
  • 10+ years of experience in AI/ML, including unsupervised learning, supervised learning, and reinforcement learning, large language models (LLMs)
  • Proven experience in developing, deploying, and scaling machine learning and AI models in production environments
  • Strong expertise in algorithms, machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and data processing tools
  • Extensive knowledge of machine learning algorithms, deep learning, reinforcement learning, NLP, and computer vision
  • Advanced experience in utilizing and applying common programming languages, such as Python, C/C++, Java, Spark and Hadoop, R Programming, Kafka, C#, MATLAB
  • Experience with microservices architecture, containerization technologies (Docker, Kubernetes), and cloud computing platforms (AWS, Azure, Google Cloud)
  • Expertise in GraphDB, SQL/NoSQL, MS Access, databases
  • Knowledge of industrial automation or power system design
  • Published research or contributions to open-source AI/ML projects
  • Familiarity with energy industry standards and documentation procedures
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Prescription drug coverage
  • Access to Health Coach from GE Vernova, a 24/7 nurse-based resource
  • Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
  • Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions
  • Access to Fidelity resources and financial planning consultants
  • Tuition assistance
  • Adoption assistance
  • Paid parental leave
  • Disability benefits
  • Life insurance
  • 12 paid holidays
  • Permissive time off

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI/ML strategymachine learning pipelinesdata workflowsunsupervised learningsupervised learningreinforcement learninglarge language modelsmachine learning algorithmsdeep learningnatural language processing
Soft skills
leadershipmentoringcollaborationinnovationcontinuous learningthought leadershipcommunication
Certifications
Master’s DegreePhD Degree