April 6
• Design, implement, and improve machine learning Systems. • Contribute to machine learning applications end to end, i.e. from research to prototype to production. • Work with product managers, designers, and customers to define vision and strategy for a given product.
• A hybrid data science engineer who can navigate both sides with little help from others • Strong programming skills in at least one object-oriented programming language (Java, Scala, C++, Python, Golang, etc.) • Experience building microservices. Experience with Golang is a plus • Substantial experience with building and managing infrastructure for deploying and running ML models in production • Experience working with distributed data processing frameworks such as Spark. Experience with Spark's MLlib, AWS, Databricks, MLFlow are a plus • Knowledge in statistics and machine learning and practical experience applying it to solve real-world problems. • Hands-on, quick learner of new tools and languages, excited about building things and experimenting • Team player, willing to collaborate with engineers, designers, and product managers • Degree in Computer Science, Data Science, or related field, and 4-6 years of industry or equivalent experience
• Diverse and inclusive work environment • Opportunity to work with a team dedicated to leveraging data for success • Emphasis on hiring the whole person
Apply NowMarch 20
1001 - 5000
March 20
1001 - 5000
March 20
1001 - 5000
🇮🇳 India – Remote
💰 $21.4M Post-IPO Equity on 2022-11
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer