Senior/Staff Machine Learning Engineer - Bidding (Bangkok based, relocation provided)

About the role

The Senior/Staff Machine Learning Engineer will lead the technical team in improving scalability, stability, accuracy, speed, and efficiency of our existing ML systems and processes. They will build, administer, and scale ML processing pipelines. The ideal candidate should be comfortable navigating the technology stack including Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3, and should have expertise in SQL, Python3, and JVM-based programming languages such as Java or Scala. They should also have a strong understanding of Hadoop ecosystems and Big Data technologies.

Responsibilities

• Lead the team technically in improving scalability, stability, accuracy, speed, and efficiency of our existing ML systems and processes.
• Build, administer, and scale ML processing pipelines.
• Design, build, test, and deploy new libraries, frameworks, or full systems for our core systems while keeping to the highest standards of testing and code quality.
• Work with experienced engineers and product owners to identify and build tools to automate large-scale data management/analysis tasks.
• Take and build systems that enable delivery of ML models to production at a scale.

Requirements

• Bachelor’s degree in computer science / information systems / engineering / related field
• 6+ years of experience in software engineering with a minimum of 4+ years in machine learning
• Expertise in SQL, Python3, and JVM-based programming languages (Java or Scala)
• Expertise in software design/design patterns, functional programming, and object-oriented programming
• Analytical problem-solving capabilities and experience

Qualifications

• A strong engineering-driven mindset is required to succeed in this role.

Skills

• Good understanding of Hadoop ecosystems and Big Data architecture and technologies
• Experience working with open-source products
• Experience with Scala development
• Experience working in an agile environment using test-driven methodologies
• Systems administration skills in Linux

Benefits

• Hybrid Working Model
• WFH Set Up Allowance
• 30 Days of Remote Working from anywhere globally every year
• Employee discount for accommodation globally
• Global team of 90+ nationalities
• 40+ offices and 25+ countries
• Annual CSR/Volunteer Time off
• Benevity Subscription for employee donations
• Volunteering opportunities globally
• Free Headspace subscription
• Free Odilo & Udemy subscriptions
• Access to Employee Assistance Program (third party for personal and workplace support)
• Enhanced Parental Leave
• Life, TPD & Accident Insurance

Pay

TBD

Schedule

TBD