Data Scientist | Gen AI

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A staffing agency in Singapore is seeking a Data Science professional to design and deploy AI/ML solutions across various applications. The ideal candidate will have 2 to 5 years of experience, particularly in developing generative AI frameworks. The role involves engaging stakeholders, leading technical efforts, and establishing governance practices. Excellent communication and data visualization skills are essential. This position offers career progression into team management.

Qualifications

• 2 to 5 years of experience in a data science role.
• Track record of developing and deploying AI/ML solutions.
• Hands-on experience with generative AI frameworks.
• Excellent understanding of machine learning and deep learning models.
• Experience in applying statistical techniques in feature engineering.

Responsibilities

• Design, develop and deploy AI/ML solutions for various applications.
• Provide decision support through product analytics and impact analysis.
• Lead technical efforts in developing AI capabilities.
• Work with teams to deliver AI solutions using an agile framework.
• Establish AI governance practices and promote AI literacy.

Skills

AI/ML solution development

Stakeholder engagement

Data visualization

Experiment design and A/B testing

Governance practices

Tools

Docker

AWS

Azure

GCP

LangChain

HuggingFace Transformers

Job description

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 and customer 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 to senior level position with eventual career progression to team management.
• 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.
• 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
NavneetGoel(Nav)
EA License No. : 02C3423 | Reg No. R1982194