Senior ML Engineer

Key Skills

Apache Hadoop, Big Data Technology, Data science techniques, Effective communication skills, Java Programming, Machine learning techniques, Mathematical modeling, Python Programming, Scala Programming, SPARK Programming

Job Description

We are looking for a Senior Machine Learning Engineer to join a team of industry experts that work on Big Data technologies to develop solutions for deployment at massive scale.

Essential functions

• Participate in design and development of Big Data analytical applications
• Design, support and continuously enhance the project code base, continuous integration pipeline, etc.
• Write complex ETL processes and frameworks for analytics and data management
• Work inside the team of industry experts on the cutting edge Big Data technologies to develop solutions for deployment at massive scale

Qualifications

• 7-10+ years of server-side engineering experience. ML/Data Science/Mathematical modeling related experience is preferred.
• Expert in Python, proficient in other languages such as Scala/Java is a plus
• Experience with developing large-scale ML infrastructure, such as services, frameworks or tooling
• Experience in implementing Machine Learning/Optimization based applications is a plus
• Proficiency in Spark, and experience with Hadoop or other big data processing technologies
• Strong object-oriented design skills, coupled with a proven understanding of data structures and algorithms
• Excellent communication and collaboration skills for requirement gathering and clarification
• Keen ability to lead with a high level of autonomy, versatility, and influence to drive key projects to completion

Education

• PhD or Master's degree in Machine Learning, Computer Science, Computer Engineering, or equivalent experience.

We offer

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• Corporate social events
• Professional development opportunities
• Well-equipped office