Senior Machine Learning Engineer – Predictive AI & NLP

half the sky; Kuala Lumpur; On-site; MYR 120,000 - 160,000; Full time

Benefits offered by this job

Employee share purchasing

Flexible work arrangements

Commitment to diversity and inclusion

Competitive pay

Job summary

A leading technology consulting firm in Kuala Lumpur is seeking an experienced Machine Learning Engineer to develop analytics solutions driven by machine learning and statistical algorithms. Candidates should have strong expertise in Python and Java, experience with big data technologies, and a solid foundation in applied mathematics. This role involves consulting with managers on ML objectives, designing AI systems, and enhancing predictive automation software. Competitive pay and growth opportunities are provided within an inclusive work culture.

Qualifications

• 6-8 years of overall experience, with at least 5 years as a machine learning engineer.
• Strong experience in data science, machine learning, and statistical analytics.
• Experience deploying ML solutions in Azure or other cloud platforms.

Responsibilities

• Consulting with managers to refine machine learning objectives.
• Designing self-running AI software for predictive models.
• Transforming data science prototypes using appropriate ML algorithms.
• Documenting machine learning processes and keeping up with developments.

Skills

Python

Java

Deep learning techniques (TensorFlow, Theano, MXNet)

Big data stack (Spark, Hadoop, Storm, Hive & Pig)

C/C++ or C# or Scala programming skills

Applied mathematics and statistics

Tools

Azure

Elastic Search

Solr

Azure Cognitive Search

Job description

A leading technology consulting firm in Kuala Lumpur is seeking an experienced Machine Learning Engineer to develop analytics solutions driven by machine learning and statistical algorithms. Candidates should have strong expertise in Python and Java, experience with big data technologies, and a solid foundation in applied mathematics. This role involves consulting with managers on ML objectives, designing AI systems, and enhancing predictive automation software. Competitive pay and growth opportunities are provided within an inclusive work culture.