ai engineer [up to rm8.5k].

• Public Transport Accessible
• Excellent Benefits
• Career Growth Opportunities within FinTech

about the company

Randstad has partnered with a regional Financial Services organization, with a strong reputation of being a market leader in providing reliable, secure and timely solutions. Your future employers provide a platform of exposure and growth for their employees, with an opportunity to work on exciting projects.

key responsibilities:

• Model Development: Design, train, and deploy machine learning and deep learning models for financial use cases (e.g., fraud detection, risk assessment, time-series forecasting).

• GenAI Engineering: Build and optimize Generative AI applications, RAG pipelines, and intelligent agents using LLMs.

• Production Deployment (MLOps): Take models from development and deploy them into secure, scalable, production-grade financial environments.

• Data Pipelines: Clean and process large-scale structured and unstructured financial data (e.g., market data, transaction logs, regulatory filings).

requirements:

• Experience: 3+ years of professional experience as an AI/ML Engineer.

• Core Frameworks: Strong, hands-on proficiency in PyTorch and TensorFlow.

• LLM Orchestration: Direct experience building applications with LangChain.

• Programming: Advanced Python skills along with standard data libraries (Pandas, NumPy, Scikit-Learn).

• Vector Databases: Experience with vector search and databases (e.g., Pinecone, Milvus, Chroma).

• Cloud & DevOps: Familiarity with deploying models on cloud infrastructure (AWS, Azure, or GCP) and using basic MLOps tools.

• Proven track record of shipping ML models into production.

how to apply ...