Data Scientist
Job Description
Job responsibilities
Design, develop and deploy AI/ML/Gen AI solutions in areas including Client’s app, electric vehicle charging, grid planning and monitoring, asset optimization,billing operations, work site safety and customer experience.
Engage business stakeholders to understand user requirements, leverage domain knowledge, drive project targets and deliver business value.
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.
Monitor and evaluate emerging AI tools, frameworks, and vendor solutions for internal adoption.
Job Requirement
Job Requirements
- Bachelor of Computer Science/Engineering, Data Analytics & AI or other related area.
- Proven track record of developing and deploying AI/ML solutions in cross-functional 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 of one of the following: CV, NLP, time series modeling, network analysis, predictive maintenance, document understanding, RAG, PEFT fine-tuning, Agentic AI.
Good to have
- Strong 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
