Key Responsibilities
Build and deploy ML models on various platforms.
Directly integrating with services of other engineering teams.
Work with data science team to enable robust decision-making in terms of thinking about scale, latency, throughput requirements. Create tools/systems to speed-up ML lifecycle.
Play a significant role in enabling adoption of sophisticated algorithms and data mining strategies.
Contribute to the development of data-related products and services.
Essential Requirements
Solid understanding of data structures and algorithms (expected to be fluent in at least one OO or functional language).
Requires 5+ years of related experience with a Bachelors degree; or 3+ years with a Masters degree; or 1+ years with a PhD; or equivalent experience
Software engineering experience particularly related to productionizing ML models and scaling them in low-latency settings.
Strong knowledge of ML fundamentals and algorithms.
Proficient in Scala or Java. Exposure to Python (esp. numpy, pandas).
Experience with AWS, docker/kubernetes, airflow, JIRA, confluence, etc.
Knowledge and/or interest in deep learning
Desirable Requirements
Drive for results and on-time delivery of key outputs
Seeks assistance when needed
Demonstrates self-initiative.
Solid written & verbal communication skills.
Demonstrated analytical and problem-solving skills.
Ability to learn and apply new tools and applications.
Keen business acumen in a highly transactional business model
Experience in storytelling with data.
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