AI Machine Learning Principal Engineer

-; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A leading technology firm in Singapore is looking for an AI Machine Learning Principal Engineer. This role involves developing scalable machine learning models, optimizing code and collaborating with various stakeholders to implement solutions. The ideal candidate will have at least 8 years of relevant experience and a strong background in machine learning, statistics, and software engineering. Leadership and communication skills are essential for driving results and influencing internal and external partners. Competitive compensation and benefits are offered.

Qualifications

• 8+ years experience in a related professional role.
• Knowledge of compliance, Safety, EMC, Wireless, Telecom, and Environmental legislation is a plus.
• Experience leading and influencing stakeholders.

Responsibilities

• Develop and optimize scalable machine learning models.
• Collaborate with stakeholders to align end-to-end solutions.
• Lead the design and testing of analytical technologies.
• Identify gaps and collaborate with engineering teams.
• Drive partnerships for analytical solutions.

Skills

AI machine learning

Statistics

Optimization techniques

Software engineering

Data engineering

Analytical thinking

Leadership

Education

Bachelor's degree

Master's degree

PhD

Job description

What you'll achieve

An opening based in Singapore Design Centre (SDC) for AI Machine Learning Principal Engineer of Global Regulations/Standards and Environmental Affairs is available.

The primary responsibility will be Engineering end-to-end, performant, modifiable and scalable machine learning models using techniques from statistics, optimization, software engineering and data engineering. Uses machine language and statistical modelling to evaluate performance, quality, data management and accuracy. Uses a variety of techniques in order to improve the predictive capability of natural language processing and/or machine perception algorithms. This person will interface with all levels of the organization, as well as, Dell IT team (in US and India)

You will:

• Apply knowledge of AI machine learning, statistics, optimization, software engineering and data engineering to produce code for testing, operationalizing and governing software-integrated machine learning models. Works with stakeholders including business owners, software engineers, data scientists and data engineers to align and execute end-to-end solutions which start with data collection and management, extend through machine learning methodologies and efficiencies in software engineering, and end with governance of machine learning model performance
• Optimizes code for existing data streams, machine learning models and APIs using best practices in software engineering and experimental design. Defines best practices for AI ML engineering, code optimization, model and system validation and model governance and educates prospects and customers on analytics and machine learning offerings
• Leads the design and testing of analytical technologies, or the development/testing of new algorithms/functions to enhance capabilities within key market segments of interest. Leads definition of machine learning and data analytics vision, multiple use-case evaluation and selection criteria, as well as project-level scope definition for customers
• Proactively identifies gaps and collaborates with engineering teams to find solutions, while solidifying commitments to execute these
• Drives partnerships & relationships with third parties to develop vertical/horizontal analytical solutions and product integrations

Take the first step towards your dream career,

Essential Requirements

• Requires 8+ years of related experience in a professional role with a Bachelor's degree; or 6+ years with a Master's degree; or 3+ years with a PhD; or equivalent experience
• Knowledge on product compliance, Safety, EMC, Wireless, Telecom and Environmental (e.g. Energy, Material, ECO Labels, Accessibility, Repairability, Packaging and etc.) legislation programs will be plus.
• Track record of being an enthusiastic and effective team player with experience leading and influencing internal and external stakeholders to ensure successful outcomes.

Desirable Requirements

• Education in Engineering, Computer Science, or other related subjects.
• Exceptional organizational and communications skills