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Location
In office (Malaysia)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
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Brooks Automation supplies robotics, vacuum handling and contamination control for semiconductor manufacturing. Its wafer handling systems move substrates inside deposition and etch tools. The company sells to equipment makers and fabs across the industry.

Brooks is a leading provider of automation solutions with over 40 years of experience in the semiconductor industry, offering precision robotics, integrated automation systems, and contamination control solutions that empower chip manufacturers worldwide. Our product portfolio includes a range of automation solutions, including robots, vacuum systems, and atmospheric robots for semiconductor manufacturing (www.brooks.com).

Are you looking for a place where you can be part of a transformation? Join us at Brooks Automation and be a part of a dynamic organization that is shaping the future of technology.

AI Data Analyst

Job Description

About the Role:

The AI Data Analyst at Brooksis responsible forinterpreting and managing data to influence the company's artificial intelligence solutions by extracting data from various sources, interpreting patterns, and analyzing results using statistical techniques.

This newly created global-first AI Data Analyst role at Brooksis responsible forsupporting the development and evaluation of AI-driven solutions through data analysis, insight generation, and model performance monitoring. As the first hire in this space, the successful candidate will play a pivotal role in shaping the function, influencing future capabilities, and contributing to the strategic direction of AI initiatives across the organization.

Work Location: Onsite - Pasir Gudang, Johor Bahru.

Key Responsibilities:

  • Data Analysis: Query, clean, and analyze data using Python (pandas,numpy) and SQL

  • Python Development: Build reusable scripts, notebooks, and pipelines for analysis and reporting

  • Model Management: Prepare features, evaluate models, run experiments, track performance

  • AI Strategy & Planning: Translate business requirements into AI product roadmap & features with business value cases

  • GenAI / LLM Use Cases:

  • - Build prompts for business use cases (summarization, Q&A, classification)

  • - Evaluate outputs (accuracy, hallucination, relevance)

  • - Structure inputs using RAG and vector database (retrieval from internal data)

  • AI Agents:

  • - Design agents to automate tasks (report generation, data queries, alerts)

  • - Use tools/workflows (e.g., function calling, chains, orchestration tools)

  • Data Pipelines:

  • - Transform and prepare data for ML and agentic use

  • - Ensure clean, structured datasets for downstream use

  • AI & ML Ops:

  • - Track model performance and token optimization

  • -Identifydrift, errors, and failures and resolve proactively

  • Collaboration:

  • - Work with business + AI teams to turn problems into data/AI solutions

  • Communication:

  • - Explain results simply (what happened, why, what to do next)

  • Any other duties as assigned

Qualifications:

  • At least3-5 years’ experiencein data analytics, ML, or AI roles, with at least 1 year in Agentic AI Design & Development

  • Extreme Python Skills:

  • - Proven skills using standard libraries (sklearn, pandas,numpy, etc.)

  • - Ability to analyze datasets end-to-end

  • GenAI / LLM exposure:

  • - Experience using tools like Claude, OpenAI ChatGPT or similar

  • - Proficient with modern GenAI tools like Cursor, Claude Code, Codex, etc.

  • -Use Microsoft Copilot, Fabric Data Agents, and Azure AI Foundry capabilities to create conversational analytics, knowledge retrieval, and decision-support solutions

  • AI Agents:

  • - Experience building working integrated agents, in Bedrock and/or Azure/Copilot

  • - Strong awareness of emerging agentic AI trends and tools

  • - Develop andmaintainenterprise AI agentsleveragingMicrosoft Copilot, Azure AI Foundry, Microsoft Fabric, andOneLake-connected data assets

  • Data Platforms:

  • - Rich experience and knowledge of data warehouses - specifically AWS Redshift and/or Azure Foundry

Work Location & Flexibility

At Brooks, we aim to foster a collaborative and engaging environment while offering flexibility where possible. Work arrangements may include a mix of in-office and remote work, depending on the nature of the role and business needs. Specific expectations will be shared during the interview process.

Brooks is committed to fostering a diverse and inclusive workplace and proudly serves as an equal-opportunity employer. We welcome all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other legally protected characteristics.

Diversity enhances our innovative capabilities and strengthens our ability to serve our customers and communities effectively. At Brooks Automation, we celebrate the unique experiences and perspectives each individual brings, believing they are essential to our collective success. Join us in building a workplace where every team member is valued and can thrive.

For applicants with disabilities requiring accommodations, don't hesitate to get in touch with [email protected] or call +1 (978) 262-2400 to discuss your needs.

Review EEO Law & EEO Statement.

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