Director of Data Analytics, Artificial Intelligence (AI) Solutions
Switzerland Global Enterprise
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $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 to drive differentiation, efficiency, and growth
- Build, mentor, and lead a diverse team of data scientists, machine learning engineers, and AI specialists, fostering a collaborative environment that promotes innovation and knowledge sharing
- Act as the thought leader for AI/ML technology, staying up-to-date with industry trends, emerging technologies, and best practices
- Drive innovation in AI methodologies, including deep learning, reinforcement learning, natural language processing (NLP), and computer vision
- Oversee the design of robust machine learning pipelines and data workflows, ensuring seamless data ingestion, processing, and model deployment
- 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 ensuring that solutions deliver business value and meet performance expectations
- Monitor, maintain, and optimize deployed AI/ML models, ensuring continuous improvements in model accuracy and performance
- Stay informed of regulatory requirements around data privacy, security, and ethics, ensuring that AI/ML solutions comply with all relevant standards and laws
- Collaborate with product managers, engineering teams, and other functions to identify opportunities and define project scope, timelines, and deliverables for AI/ML projects
- Foster an environment of continuous learning, encouraging the team to experiment with new algorithms, frameworks, and methodologies
- Contribute to industry thought leadership by attending conferences and publishing papers
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 leadership, team management, and interpersonal skills with a track record of leading multidisciplinary, high-performing teams
- 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
- Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences
- Strong problem-solving skills, with the ability to think strategically and execute on complex technical initiatives
- Knowledge of ethical AI principles and data privacy regulations
- Advanced experience in utilizing and applying common programming languages, such as Python, C/C++, Java, Spark and Hadoop, R Programming, Kafka, C#, MATLAB, along with good familiarity with power system modeling and data communication format
- 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
- medical, dental, vision, and 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
- GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and retirement 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/MLmachine learningdeep learningreinforcement learningnatural language processingcomputer visionalgorithmslarge language modelsdata processingprogramming languages
Soft skills
leadershipteam managementinterpersonal skillscommunication skillsproblem-solving skillsstrategic thinkingcollaborationmentoringinnovationknowledge sharing
Certifications
Master’s DegreePhD Degree