Skills / Experience

• Solid understanding of the machine learning methods, models and related mathematics
• Ability to understand business concerns and formulate them as technical problems that can be solved using data and ML.
• Experience working as part of a product team, along with engineers and product managers, to define the problem and execute the machine learning solution
• Experience working with large data sets, coming from varied sources
• Experience with deep learning and associated tools and technologies
• Familiarity with data engineering technologies (Kafka/Flink/Spark etc)
• Typical background (not mandatory): Masters in a computer science with 3 - 5 years experience working as a Research Engineer or Machine Learning Engineer in a product company

Responsibilities

• Work as part of a product team in defining, prototyping and implementing machine learning models/algorithms as part of the product.
• Take ownership of the ML model end-to-end - from data collection to model building to scaling out the prototype to very large datasets and building tools to monitor the model in production
• Work with the engineering team to define best practices for ML model building, testing and deployment
• Mentor junior colleagues, conduct internal workshops and external meetups, participate in external conferences and give talks.