Job Description

Job Description

Must Have Technical/Functional Skills Technical Expertise:

• Proficiency in AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.

• Experience with Generative AI technologies and large language models (e.g., GPT-4, BERT, DALL-E).

• Expertise in cloud-native AI services:

o Azure: Azure Machine Learning, Cognitive Services, OpenAI Service

o AWS: SageMaker, Bedrock, Rekognition

o Google Cloud: Vertex AI, AutoML, Generative AI Studio

• Hands-on experience with MLOps practices, including CI/CD for model deployment, model monitoring, and retraining.

• Knowledge of utility-specific protocols, systems, and data types (e.g., SCADA, AMI, GIS).

Soft Skills

• Strong problem-solving skills, with the ability to translate business challenges into AI solutions.

• Excellent communication and stakeholder management skills, with the ability to present technical concepts to non-technical audiences.

Certifications

• Relevant certifications in AI/ML and cloud platforms:

o Azure AI Engineer Associate

o AWS Certified Machine Learning Specialty

o Google Professional Machine Learning Engineer

• Certifications in Generative AI tools (e.g., OpenAI or Hugging Face) are a plus.

Preferred Skills:

• Knowledge of emerging trends in the utilities industry, such as energy transition, smart grids, and renewable energy integration.

• Experience with AI/ML applications in IoT and edge computing for utilities.

• Familiarity with AI frameworks for sustainability and carbon footprint reduction.

Experience Required

• 8+ years in AI/ML architecture, with at least 5 years focused on Power & Utilities.

• Proven track record of deploying AI solutions at scale in enterprise environments.

Roles & Responsibilities AI/ML Strategy & Architecture

• Define and implement end-to-end AI/ML architectures, including model development, deployment, and monitoring, to solve business challenges in utilities (e.g., energy forecasting, predictive maintenance, and grid optimization).

• Architect and deploy Generative AI (Gen AI) solutions for applications.

• Design scalable AI/ML pipelines leveraging cloud-native platforms and open-source frameworks.

Industry-Specific AI Solutions

Develop AI-powered solutions for utility-specific use cases, such as:

• Demand Response: AI models for real-time energy demand prediction and load balancing.

• Asset Performance: Predictive maintenance models for critical infrastructure like transformers, power lines, and turbines.

• Customer Engagement: Personalization and sentiment analysis using AI to enhance customer experience and retention.

• Energy Transition: AI-driven insights for integrating renewable energy sources, managing distributed energy resources (DERs), and optimizing carbon reduction strategies.

Generative AI Expertise

• Implement Generative AI use cases, such as intelligent document processing, report generation, and scenario simulation using technologies like OpenAI, Hugging Face, Anthropic, and cloud-native Gen AI services.

• Enable conversational AI capabilities with tools like Azure OpenAI Service, Google Vertex AI, AWS Bedrock, and ChatGPT API.

Platform Expertise

• Leverage major AI/ML and data platforms, including Azure Machine Learning, AWS SageMaker, Google Vertex AI, and Databricks ML.

• Integrate AI models with existing utility systems (e.g., SCADA, OMS, DERMS) to deliver actionable insights.

AI Governance & Ethics

• Establish AI governance frameworks to ensure ethical use of AI, explainability, bias mitigation, and compliance with industry regulations (e.g., NERC CIP, FERC).

• Promote the responsible use of Gen AI technologies in enterprise applications.

Collaboration & Leadership

• Partner with business stakeholders, data scientists, and engineers to design AI strategies aligned with utility goals.

• Provide technical leadership to cross-functional teams and mentor junior architects and engineers.

Generic Managerial Skills Soft Skills:

• Strong communication and stakeholder management skills.

• Ability to translate complex technical solutions into business value for utility leaders.

• Support pre-sales activities including engaging prospects, conducting discovery workshops, developing point of views/solutions/scoping, writing proposals, engaging partners, and supporting sales and marketing enablement.

• Provide advisory services to existing and new customers on AI/Gen AI Strategy and Consulting

• Must be able to communicate with CTO and CXO level audience by demonstrating expertise in managing large AI Transformation programs

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