Machine Learning Engineer

Avanade Inc.; Kuala Lumpur; On-site; MYR 50,000 - 70,000; Full time

Job summary

A leading technology consulting firm is seeking Junior Machine Learning Engineers to join their Data & AI team in Kuala Lumpur. The role involves developing analytics solutions using machine learning, deep learning, and statistical algorithms. Ideal candidates should have hands-on experience in LLMOps, R, and Python. Responsibilities include data analysis, defining use cases with teams, optimizing machine learning frameworks, and presenting results to stakeholders. This position offers a chance to work on diverse projects across various industries.

Qualifications

• Experience in developing ML and AI algorithms.
• Ability to work with multi-layered data sets.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop ML, AI, and statistical algorithms using R and Python.
• Prepare data analyses, presenting results to stakeholders.
• Define Data Science use cases leveraging emerging technologies.
• Transform prototypes using appropriate ML algorithms.
• Optimize existing machine-learning libraries and frameworks.

Skills

Hands-on experience in LLMOps

Deep learning

Statistical modeling

Software development

R

Python

Job description

Summary

We are looking for Junior Machine Learning Engineers with hands‑on experience in LLMOps, deep learning, statistical modeling, and software development. As part of the Data & AI team, you will develop analytics solutions based on machine‑learning and statistical predictive algorithms for our clients. Together we do what matters.

Key Responsibilities

• Work on the development of ML, AI, and statistical algorithms and solutions using R and Python.
• 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.
• Transform data science prototypes by applying appropriate ML algorithms and tools.
• Turn unstructured data into useful information by auto‑tagging images and text‑to‑speech conversions.
• Solve complex problems with multi‑layered data sets and optimize existing machine‑learning libraries and frameworks.
• Develop ML algorithms to analyze huge volumes of historical data to make predictions.
• Run tests, perform statistical analysis, and interpret test results.
• Be comfortable working on application development projects for a client in the Alcohol, Tobacco, and Sanitary industry sector.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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