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:
oAzure: Azure Machine Learning, Cognitive Services, OpenAI Service
oAWS: SageMaker, Bedrock, Rekognition
oGoogle 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:
oAzure AI Engineer Associate
oAWS Certified Machine Learning Specialty
oGoogle 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 & ResponsibilitiesAI/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 - D emand 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 SkillsSoft 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
Salary Range: $140,000-$180,000 a year
TCS Employee Benefits Summary Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Conven ience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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