What You'll Do:

• Design, develop and deploy AI/ML/Gen AI solutions in areas including clients consumer utilities app, electric vehicle charging, grid planning and monitoring, asset optimization, billing operations, work site safety andcustomer experience.
• Provide ad-hoc decision support to business leaders through product analytics, experiment design, A/B testing and impact analysis.
• Engage business stakeholders to understand user requirements, leverage domain knowledge, drive project targets and deliver business value.
• Lead technical efforts to develop key AI/ML/Gen AI capabilities in areas such as time series forecasting, anomaly detection, graph network analysis, multimodal generative AI, autonomous agents, AI security guardrails, LLM evaluation framework and SLM fine-tuning.
• Work closely with data engineers, business analysts, product owners, UX designers, AI engineers and software engineers to adopt iterative, agile AI delivery framework.
• Establish and implement AI governance practices, including model documentation, validation, explainability, security guardrails, performance monitoring and ethical considerations.
• Promote AI literacy and democratization by building reusable tools,self-service analytics platforms, and conducting training and workshops for business users.
• Monitor and evaluate emerging AI tools, frameworks, and vendor solutions for internal adoption.
• Guide junior team members and manage interns/contractors
  What You'll Need:
• Minimum 2 to 5 years of experience in a data science role. This is a mid tosenior level position with eventual career progression to team management.
• Proven track record of developing and deploying AI/ML solutions incross-functional teams to solve business problems.
• Hands-on experience with Gen AI frameworks (e.g., LangChain, LlamaIndex,HuggingFace Transformers).
• Excellent understanding of machine learning, deep learning and generative AI models, their pros and cons, and ability to evaluate them for different applications.
• Extensive experience applying domain knowledge and statistical techniques in feature engineering to improve model performance and create innovative solutions.
• Deep proficiency in at least one of the following: CV, NLP, time series modeling, network analysis, predictive maintenance, document understanding,RAG, PEFT fine-tuning, Agentic AI.
• Able to actively engage stakeholders, navigate dynamic complexities, lead end-to-end project delivery and manage work of team members.
• data visualization and storytelling skills, proficient in translating technical results to actionable business insights for business leaders.
• Experience deploying Gen AI models to production, including containerization (Docker), APIs, and cloud platforms (AWS, Azure, or GCP).
• Familiarity with governance frameworks like Singapore's Model AI Governance Framework, EU AI Act, or NIST AI Risk Framework.
• Knowledge in energy tech or related domain.

Best Regards
Navneet Goel(Nav)
EA License No. : 02C3423 | Reg No. R1982194