Senior Machine Learning Engineer
7 days ago
We're on a mission to make app building so easy everyone can do it, regardless of their background, tech knowledge or budget. With $250m Series D funding and a partnership with Microsoft, we're excited about the future of software development.
Our team has grown to over 800 people across the world, and we've been recognized as one of 2023's 'Most Innovative Companies in AI' by Fast Company. We encourage you to experiment, learn, progress and challenge the status quo in our collaborative and diverse environment.
Life at Builder.aiWe value our employees and offer a range of great perks, from hybrid working and discretionary variable pay or commission scheme, to employee stock options, generous paid leave, and trips abroad.
Our global team is united by our shared belief in Builder's HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust and Transparency. We hire people for their differences and empower them to take AI app building to new heights.
The RoleWe're looking for a skilled engineer to be based in Gurugram, India or London, UK. You will work closely with global product and engineering teams to drive innovation powered by data science, machine learning and AI (decision making).
This is a challenging and diverse role that will require you to be a part of the growth of the AI organization from the ground up. You'll have the opportunity to help grow our suite of products that aim to automate the entire software development life cycle.
Responsibilities- Build, maintain and manage data pipelines that support modeling initiatives of data scientists.
- Work closely with data scientists and engineering teams to productionize machine learning models.
- Contribute to the development of the Builder Knowledge Graph.
- Engineer scalable cloud solutions using service-oriented architectures, containerized applications and lambdas.
- Higher university degree in Computer Science, Engineering, Mathematics, Physics etc.
- Solid programming experience in Python (required) and Ruby (desirable).
- Software engineering experience applied to productionizing machine learning or building data pipelines.
- Solid fundamental knowledge of data querying and manipulation using SQL (required) and Neo4j (desirable).
- Practical ML experience in R&D, commercial or academic projects.
Estimated Salary: £80,000 - £110,000 per annum, depending on location and experience.
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