Posted:9 hours ago|
Platform:
On-site
Full Time
Job Summary:
We are looking for a skilled Machine Learning Engineer to design, develop, and deploy cutting-edge AI agents and enhance our suite of office productivity applications with intelligent features. The ideal candidate will have a strong background in machine learning principles, hands-on experience with various ML frameworks, and a passion for creating practical, user-centric AI solutions.
Responsibilities:
Design, develop, and deploy machine learning models for AI agents to automate tasks, provide intelligent assistance, and improve user workflows.
Integrate AI capabilities into existing and new office applications (e.g., natural language processing for document analysis, intelligent scheduling, data insights).
Research and implement state-of-the-art machine learning algorithms and techniques.
Collect, preprocess, and analyze large datasets to train and evaluate ML models.
Collaborate with product managers, software engineers, and UX/UI designers to define requirements and deliver high-quality AI-powered features.
Optimize ML models for performance, scalability, and efficiency.
Monitor and maintain deployed models, ensuring their accuracy and reliability.
Stay up-to-date with the latest advancements in AI, machine learning, and office productivity technologies.
Qualifications:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field.
Proven experience (3 years) as a Machine Learning Engineer or similar role.
Strong programming skills in Python.
Proficiency with popular machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with natural language processing (NLP) techniques, including text classification, named entity recognition, sentiment analysis, and language generation.
Demonstrated understanding and practical experience with cloud cost optimization techniques for ML workloads (e.g., resource rightsizing, auto-scaling, serverless functions, leveraging free tiers).
Familiarity with developing conversational AI or chatbot systems.
Solid understanding of data structures, algorithms, and software design principles.
Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying ML models is a plus.
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and as part of a collaborative team.
Bonus Points (Optional):
Experience with front-end development frameworks (e.g., React, Angular) for integrating AI features into user interfaces.
Knowledge of MLOps practices for model deployment, monitoring, and versioning.
Familiarity with agile development methodologies.
Contributions to open-source projects.
Job Types: Full-time, Permanent
Schedule:
MIT ACADEMY SDN BHD
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