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2 weeks ago
We are seeking an experienced Artificial Intelligence Expert to join our organization.
About the Role:The ideal candidate will have a strong background in designing, developing and deploying AI/ML solutions in various areas such as client applications, electric vehicle charging, grid planning and monitoring, asset optimization, billing operations, work site safety and customer experience.
Main Responsibilities:- Collaborate with business stakeholders to understand user requirements and leverage domain knowledge to 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.
- Bachelor's degree in Computer Science, Engineering, Data Analytics & AI or related field.
- Proven track record of developing and deploying AI/ML solutions in cross-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.
- 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.
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