AI/ML Expert

Job Description – AI/ML Expert

Position Overview

We are seeking experienced AI/ML professionals from India to join our technology team

in Malaysia. This opportunity is ideal for accomplished AI/ML engineers, data scientists,

machine learning specialists, and applied AI professionals with 5–10 years of relevant

experience who are interested in working on enterprise-grade AI solutions and

contributing to the development of intelligent, scalable, and data-driven applications.

The selected candidate will work closely with engineering, product, data, and business

teams to identify opportunities for applying Artificial Intelligence and Machine Learning to

real-world business challenges.

The exact designation may be aligned with the candidate’s expertise and experience, such

as AI/ML Engineer, Machine Learning Engineer, AI Engineer, Data Scientist, Applied AI

Engineer, or Senior AI/ML Specialist.

Key Responsibilities

• Design, develop, implement, and maintain AI and Machine Learning solutions for

business and technology use cases.

• Analyze complex business problems and translate them into suitable AI/ML

approaches.

• Develop and optimize machine learning models using appropriate algorithms,

frameworks, and techniques.

• Work with structured and unstructured datasets to identify patterns, trends, and

actionable insights.

• Perform data preparation, feature engineering, model training, validation,

evaluation, and optimization.

• Develop production-ready AI/ML pipelines and integrate models into enterprise

applications and platforms.

• Apply techniques such as supervised and unsupervised learning, deep learning,

natural language processing, computer vision, recommendation systems,

forecasting, and predictive analytics, depending on project requirements.

• Explore and implement modern Generative AI and Large Language Model (LLM)

technologies where relevant.

• Develop solutions involving LLMs, prompt engineering, embeddings, vector

databases, Retrieval-Augmented Generation (RAG), AI agents, and model

orchestration, where applicable.

• Evaluate emerging AI technologies, frameworks, and models and recommend

appropriate solutions.

• Collaborate with software engineers to deploy AI/ML models into production

environments.

• Monitor model performance, accuracy, scalability, reliability, and data quality after

deployment.

• Identify opportunities to improve model performance through experimentation,

tuning, and continuous learning.

• Design and implement appropriate approaches for model explainability, security,

privacy, and responsible AI.

• Participate in architecture discussions and contribute to the design of scalable AI-

enabled applications.

• Work with cloud platforms and modern MLOps practices for model deployment and

lifecycle management.

• Prepare technical documentation covering models, methodologies, architectures,

experiments, and deployment processes.

• Mentor junior engineers/data scientists and contribute to the development of AI/ML

engineering best practices.

• Stay current with developments in Artificial Intelligence, Machine Learning, Deep

Learning, Generative AI, LLMs, and MLOps.

Required Technical Skills

Candidates should have strong practical experience in several of the following areas:

Programming & Data

• Strong proficiency in Python.
• Experience with SQL and relational/non-relational databases.
• Strong understanding of data structures, algorithms, statistics, and data analysis.
• Experience with libraries/frameworks such as NumPy, Pandas, Scikit-learn,

TensorFlow, PyTorch, or equivalent.

Machine Learning

• Strong understanding of machine learning concepts and algorithms.
• Experience with model development, training, validation, evaluation, and

optimization.

• Hands-on experience with regression, classification, clustering, recommendation,

forecasting, or other relevant ML techniques.

• Knowledge of feature engineering, model selection, hyperparameter optimization,

and performance evaluation.

Deep Learning / AI

Experience in one or more of:

• Neural networks and deep learning.
• Natural Language Processing (NLP).
• Computer Vision.
• Speech/Audio AI.
• Time-series analysis.
• Recommendation systems.
• Predictive analytics.
• Generative AI.

Generative AI / LLM

Exposure to or hands-on experience with:

• Large Language Models (LLMs).
• Prompt engineering.
• Embeddings and semantic search.
• Retrieval-Augmented Generation (RAG).
• Vector databases.
• Fine-tuning or adaptation of foundation models.
• AI agents and tool/function calling.
• LLM evaluation and optimization.
• Frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent.

Cloud & MLOps

Experience with one or more cloud platforms:

• Microsoft Azure
• AWS
• Google Cloud Platform

Knowledge of:

• Docker and containerization.
• CI/CD.
• Model deployment and monitoring.
• ML pipelines.
• MLOps practices.
• Kubernetes or equivalent technologies is an advantage.

Experience Requirements

• 5–10 years of overall professional experience, with substantial hands-on

experience in AI, Machine Learning, Data Science, or a closely related field.

• Proven experience developing and implementing AI/ML solutions in real-world or

enterprise environments.

• Experience taking AI/ML models from experimentation/prototype stage through

production deployment is highly desirable.

• Candidates should demonstrate strong practical problem-solving ability rather than

purely academic or theoretical knowledge.

• Experience working in cross-functional or distributed technology teams is

preferred.

Educational Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence,

Machine Learning, Data Science, Information Technology, Engineering,

Mathematics, Statistics, or a related discipline.

• Equivalent professional experience and strong technical expertise may also be

considered.

Preferred Qualifications

Candidates with experience in any of the following will be particularly valuable:

• Generative AI and LLM-based applications.
• Enterprise AI platforms.
• Azure AI / AWS AI / Google Cloud AI services.
• MLOps and production ML systems.
• NLP and conversational AI.
• Computer vision.
• AI-powered automation.
• Predictive analytics.
• Big Data technologies.
• API development and microservices.
• .NET/Java/Python-based enterprise application integration.
• Experience working with international clients or multinational organizations.

Soft Skills

• Strong analytical and problem-solving skills.
• Ability to understand business requirements and convert them into practical AI

solutions.

• Strong communication and interpersonal skills.
• Ability to explain complex AI/ML concepts to both technical and non-technical

stakeholders.

• Strong ownership and accountability.
• Ability to work independently as well as collaboratively within a multicultural team.
• Curiosity and willingness to continuously learn emerging AI technologies.
• Strong attention to quality, scalability, security, and maintainability.

Location & Mobility

Work Location: Malaysia

Candidate Source: India

Candidates currently based in India who are willing to relocate to Malaysia will be

considered.

International candidates with relevant experience and the ability to work from Malaysia

may also be considered based on project and employment requirements.

Candidates should be comfortable working with multicultural and geographically

distributed teams.

What We Are Looking For

We are particularly interested in professionals who can demonstrate:

• Strong hands-on AI/ML engineering capability.
• Experience solving complex real-world problems using AI/ML.
• Ability to build scalable, production-ready solutions.
• Good understanding of the complete AI/ML lifecycle.
• Practical experience with modern AI technologies.
• Strong software engineering fundamentals.
• Ability to collaborate effectively with engineering, product, and business

stakeholders.

Candidates with 5–10 years of experience who have progressed from hands-on AI/ML

development into senior-level technical ownership are especially encouraged to

apply.

Engagement Opportunity

The final role title, responsibilities, technology stack, and seniority will be aligned with the

candidate’s experience, technical specialization, and project requirements.

Potential positions may include:

• Senior AI/ML Engineer
• Machine Learning Engineer
• AI Engineer
• Senior Data Scientist
• Applied AI Engineer
• Generative AI Engineer
• LLM Engineer
• AI/ML Technical Specialist
• AI/ML Architect

Application Requirements

Interested candidates should submit:

• Updated CV/Resume.
• Total years of experience.
• Relevant AI/ML experience.
• Current location in India.
• Current/expected compensation.
• Notice period/availability.
• Willingness to relocate to Malaysia.
• Summary of key AI/ML projects handled.
• Details of relevant technical skills, frameworks, cloud platforms, and AI/ML

technologies.

• GitHub, portfolio, publications, or project links, where applicable.

Equal Opportunity

We encourage applications from qualified AI/ML professionals with diverse technical

backgrounds and industry experience. Selection will be based on relevant skills,

experience, technical capability, and suitability for the assigned project and role.

Pay: ₹409,194.83 - ₹1,694,864.16 per year

Work Location: Remote