Data Scientist Specialist

Menara Maxis; Kampung Paya; On-site; MYR 120,000 - 210,000; Full time

Job summary

Maxis Malaysia is seeking a seasoned ML engineer to design and deploy production-grade AI systems. You will build end-to-end ML pipelines, integrate NLP/vision solutions, and drive GenAI initiatives in a telecom context.

You will collaborate with data engineers and DevOps, implement MLOps, monitor models, and document architectures to ensure scalable, reliable performance.

Qualifications

• 4-7 years of professional experience in Data Science or related technical fields.
• 3+ years dedicated to architecting and deploying production-grade ML models and AI pipelines.
• Strong experience with Gen AI, Computer Vision, and advanced statistical analysis.
• Proficient in SQL, database concepts, and dimensional modeling.
• Experience transforming data across relational and unstructured stores.
• Telecommunication industry knowledge is desirable.

Responsibilities

• Architect and develop end-to-end ML systems and architectures using Python or R.
• Design and implement robust AI pipelines and microservices for production environments.
• Implement MLOps, CI/CD, model monitoring, and data drift tracking in production.
• Prototype and integrate Generative AI advancements (LLMs, RAG) into product stacks.
• Collaborate with Data Engineers and DevOps to ensure seamless AI integration.
• Champion software engineering best practices including Git, Docker/Kubernetes, and documentation.
• Deliver AI solutions leveraging prompt engineering and fine-tuning for context-aware applications.

Skills

Data Science

ML Engineer

SQL

Analytical Thinking

Independent Worker

Communication

Tools

Git

Docker

Kubernetes

CI/CD

Job description

Are you ready to get ahead in your career? We want to empower you to turn your ambitions into achievements. We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others. Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world. To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.

Responsibilities

• Machine Learning Systems & Architecture: Architect and develop end‑to‑end ML systems using Python or R. Beyond EDA, focus on building modular, reusable codebases for predictive modeling, recommendation engines, and advanced NLP/Computer Vision architectures.
• Production‑Grade AI Deployment: Design and implement robust, scalable AI pipelines and microservices. Focus on transitioning models from experimental notebooks to high‑availability production environments (real‑time APIs or distributed batch processing) ensuring low‑latency and high throughput.
• ML Ops & Model Lifecycle Management: Implement automated model monitoring and CI/CD for ML (MLOps). Track performance metrics and data drift in production, ensuring systems are self‑healing, scalable, and maintain high reliability under varying load conditions.
• Applied AI Research & Innovation: Prototype and integrate state‑of‑the‑art AI advancements—specifically Generative AI, LLMs, and Computer Vision—into existing product stacks to solve domain‑specific problems and maintain a technological edge.
• Cross‑Functional Systems Integration: Partner with business stakeholders to define technical requirements and collaborate deeply with Data Engineers and DevOps to ensure AI solutions are seamlessly integrated into the broader software ecosystem.
• Engineering Excellence & Documentation: Champion software engineering best practices within the AI team, including version control (Git), containerization (Docker/Kubernetes), and comprehensive system documentation for reproducibility and technical scalability.
• Generative AI Engineering: Architect solutions leveraging Large Language Models (LLMs) through prompt engineering, fine‑tuning, and Retrieval‑Augmented Generation (RAG) to deliver high‑quality, context‑aware AI applications.

Qualifications

A minimum of 4-7 years of professional experience in Data Science or related technical fields, with at least 3 years dedicated to architecting and deploying production‑grade ML models and AI pipelines within complex enterprise ecosystems. Highly proficient in end‑to‑end AI development, including Gen AI, Computer Vision, and advanced statistical analysis. Strong command of SQL, database concepts, and dimensional modeling. Experienced in data transformation methods across various data structures, including relational and unstructured data stores. Possesses robust analytical and critical‑thinking skills. A passionate self‑starter who is highly dedicated and capable of working independently. A strong team player with excellent interpersonal communication skills, proven ability to perform effectively under pressure, and dedicated to delivering results on time. A background combining Telecommunication industry knowledge with relevant business experience is highly desirable.

Equal Employment Opportunity

Maxis values diverse voices & people. We hire and reward our employees based on capability & performance—regardless of ethnicity, gender, age, education, religion, nationality or physical ability.