Machine learning specialist

• 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.
• Be comfortable navigating the following technology stack: Python3, Pyspark, scripting (Bash/Python), Hadoop, SQL, S3 etc.
• Should be able to understand internals of ML models such as Random Forest, CNN, Regression models, etc
• 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 many large-scale data management / analysis tasks.
• We believe in end-to-end ownership; this role will involve taking ML models to production at a scale.
  

What You’ll need to Succeed:

• Bachelor’s degree in computer science /information systems/engineering/related field
• 8+ years of experience in software engineering with a minimum of 4+ years in ML
• Good experience in Pyspark
• Expert level understanding of Python with design patterns and object-oriented programming.
• Experience debugging and reasoning about production issues is desirable.
• A good understanding of data architecture principles preferred.
• Any other experience with Big Data technologies / tools
• SQL experience
• Analytical problem-solving capabilities & experience.
• Systems administration skills in Linux
• A strong engineering driven mindset will be required to succeed in this role.