AI Engineer

SNS Network (M) Sdn. Bhd.; Ipoh; On-site; MYR 80,000 - 120,000; Full time

Job summary

SNS Network (M) Sdn. Bhd. is seeking an AI Engineer to lead the integration of AI capabilities into business processes. This role involves managing R&D to meet AI strategies, collaborating with teams, and continuously improving machine learning models. The ideal candidate will have strong expertise in machine learning, deep learning, and programming with Python, along with experience in developing APIs and working with databases. The position offers a competitive salary reflective of the applicant's experience and seniority.

Qualifications

• Experience with machine learning and deep learning technologies.
• Familiarity with AI integration into business processes.
• Strong programming skills in Python and experience with TensorFlow.

Responsibilities

• Manage and direct R&D processes in alignment with AI strategy.
• Collaborate with cross-functional teams to implement AI solutions.
• Continuously evaluate and improve machine learning models.

Skills

Machine Learning

Deep Learning

TensorFlow

Python

Natural Language Processing (NLP)

Tools

NoSQL Database Design

RDBMS Design

REST API Development

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
• Experience with ML, deep learning, TensorFlow, Python, NLP
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
• Experience with cloudenvironments