Senior Machine Learning Engineer
4 weeks ago
At Loopio, we're revolutionizing the way companies respond to requests for proposal (RFPs). Our team of Machine Learning Engineers and Data Scientists work together to develop innovative solutions that make the RFP response process faster, smoother, and more efficient.
Key Responsibilities- Design, build, and maintain data management and machine learning applications
- Develop software to deliver and integrate machine learning product capabilities into our platform through REST services
- Stay up-to-date with the latest ML technologies and advancements, and find ways to incorporate them into our existing solutions
- Build data processing pipelines to support data analysis and machine learning tasks, and automate data pipelines in production
- Perform code reviews and add automated testing to ensure software quality is high
- Experience in a high-growth agile software development environment
- Experience developing machine learning-driven applications
- Interest and experience in statistical modeling and machine learning
- A good understanding of ETL, data warehousing, data modeling, and data architecting
- The knowledge to work with data scientists and translate proof of concept models into production-strength systems
- Development skills in Python, relational databases such as MySQL or PostgreSQL, NoSQL databases, e.g., Redis or Cassandra, data processing frameworks such as Spark (DataBricks), or Presto (AWS Athena), and deep learning frameworks such as TensorFlow / PyTorch, Kinesis, and Lambda
- The ability to take projects from early concept to a finalized production solution
- Experience with microservice architectures
- Strong test automation skills (unit and functional)
- A remote-first workplace with flexible co-working locations
- A MacBook laptop, a monthly phone and internet allowance, and a work-from-home budget
- Regular company socials, AMAs, and quarterly kick-offs to celebrate milestones
- A culture that values personal and professional growth, with opportunities for connections and learning
- A professional mastery allowance each year
We're an equal opportunity employer committed to building equitable workplaces that are diverse and inclusive. If you require accommodations at any point during our virtual interview processes, please contact a member of our Talent Experience team (work@loopio.com).
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