A tech-focused company in Ipoh is seeking an experienced AI Engineer to lead AI initiatives and manage research and development processes. The role involves collaborating with cross-functional teams to integrate AI solutions while enhancing existing systems. Candidates should have experience in machine learning, deep learning frameworks like TensorFlow, and programming languages such as Python. Strong communication skills and an understanding of business needs are essential, alongside a commitment to ethical AI standards.
Qualifications
Experience with machine learning and deep learning techniques.
Proficient in TensorFlow and Python for AI applications.
Hands-on experience with REST API and database designs.
Responsibilities
Manage and lead R&D for AI integration into business solutions.
Collaborate with teams to align initiatives with organizational goals.
Continuously evaluate and improve machine learning model performance.
Skills
Machine Learning
Deep Learning
TensorFlow
Python
Natural Language Processing (NLP)
REST API Development
NoSQL Database Design
RDBMS Design and Optimization
Cloud Environments
Job description
AI Engineer
Objectives of this role
Manage and direct processes and R&D research and development to meet the needs of our AI strategy
Understand company and client challenges and how integrating AI capabilities can help lead to solutions
Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
Collaborate across teams to align AI initiatives with organizational goals, integrate AI into broader system architectures, and ensure the smooth integration and functionality of ML models within our infrastructure
Keep abreast of the latest developments in AI, machine learning and suggest improvements to existing systems and workflows to maintain our competitive edge.
Continuously evaluate and iterate on machine learning models to enhance performance based on metrics and feedback from operational teams.
Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Qualifications
Experience with ML, deep learning, TensorFlow, Python, NLP
Experience in REST API development, NoSQL database design, and RDBMS design and optimizations