Description:

Loopio is seeking a Senior Machine Learning Engineer to join the Strategic Insights team within Engineering.
The role focuses on empowering customers with actionable insights to improve proposal quality, win rates, and team productivity.
Responsibilities include enhancing dashboard usability, integrating tailored recommendations, and showcasing Loopio's ROI to executives.
The engineer will work closely with Product Managers, Software Developers, and Data Scientists to design, build, maintain, and optimize data management and machine learning applications.
The position involves developing software to integrate machine learning capabilities into the platform through REST services.
The engineer will build data processing pipelines for data analysis and machine learning tasks, and automate data pipelines in production.
The role requires performing code reviews and adding automated testing to ensure high software quality.
The engineer will collaborate with teams across Canada, the UK, and India, and will work from 11 am to 7:30 pm IST to accommodate time zone differences.

Requirements:

Candidates must have 4+ years of experience as a Senior Machine Learning Engineer.
Experience in a high-growth agile software development environment is required.
Applicants should have experience developing machine learning-driven applications.
A strong interest and background in statistical modeling and machine learning is necessary.
A good understanding of ETL, data warehousing, data modeling, and data architecting is required.
Candidates should be able to work with data scientists and translate proof of concept models into production-strength systems.
Development skills in Python, relational databases (MySQL or PostgreSQL), NoSQL databases (e.g., Redis or Cassandra), and data processing frameworks (e.g., Spark or Presto) are essential.
Familiarity with deep learning frameworks such as TensorFlow or Pytorch, Kinesis, and Lambda is required.
The ability to take projects from early concept to finalized production solution is necessary.
Experience with microservice architectures and strong test automation skills (unit and functional) are required.
Bonus qualifications include experience with container orchestration tools (Docker, Kubernetes), MLOps and CI/CD for ML applications, and Natural Language Processing techniques.

Loopio offers ongoing feedback and regular 1-on-1s to support employee development.
Employees have the opportunity to explore their creativity with a dedicated professional mastery allowance for learning support.
A wide range of health and wellness benefits is provided to support physical and mental well-being from day one.
Employees will receive a MacBook laptop, a monthly phone and internet subsidy, and a work-from-home budget to set up their home office.
The company fosters a supportive culture with opportunities for connections in a remote-first environment.
Employees can participate in townhalls, AMAs, and quarterly celebrations to recognize achievements.
Loopio has four active Employee Resource Groups for year-round learning and connection.
Employees will be part of an award-winning workplace with opportunities to make a significant impact on the business.