ML/AI Engineer

Avanade Inc.; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Job summary

Avanade Inc. is seeking an experienced ML/AI Engineer with hands-on expertise in LLMOps, deep learning, statistical modeling, and software development.

You will join the Data & AI team to develop analytics solutions based on machine learning and predictive algorithms for clients in a dynamic business environment. Responsibilities include designing ML systems, preparing advanced data analyses for stakeholders, and turning unstructured data into actionable insights through techniques like image

Responsibilities

• Designing machine learning systems and self-running AI software to automate predictive models.
• Prepare advanced data analyses and support in the presentation of results to business stakeholders.
• Work with team members and leads to define Data Science use cases using current and emerging technologies.
• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms to analyze huge volumes of historical data to make predictions.
• Running tests, performing statistical analysis, and interpreting test results.

Job description

SummaryWe are looking for an experienced ML/AI Engineer with hands-on experience in LLMOps, deep learning, statistical modeling, and software development. As part of Data& AI team, you will develop analytics solutions based on machine learning & statistical predictive algorithms for our clients. Together we do what mattersKey responsibilitiesDesigning machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.Prepare advanced data analyses and support in the presentation of results to business stakeholdersWork with team members and leads to define Data Science use cases using current and emerging technologiesTransforming data science prototypes and applying appropriate ML algorithms and toolsTurning unstructured data into useful information by auto-tagging images and text-to-speech conversions.Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.Developing ML algorithms to analyze huge volumes of historical data to make predictions.Running tests, performing statistical analysis, and interpreting test results.Additionally, you’ll also be comfortable in working on application development projects for our client who is a reputable business operating within the Alcohol, Tobacco, and Sanitary industry sector.

Equal Employment Opportunity Statement

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