Machine Learning Engineer

is a start-up company that has changed the way consumers shop for car insurance in the United States. We are Great Places to Work Certified, are expanding our product breadth and are looking to add the best talents to our team. Are you up for the challenge? If so, keep reading.

This position is a great opportunity for an entrepreneurially - minded person who enjoys making a difference in a start-up environment. We are looking for an experienced Machine Learning Engineer to complement the team to help create and extend existing models.  views Machine Learning (ML) as an integral component of our strategy, and we want you to help us build ML as a competency for  from the ground up.

The ideal candidate will have strong analytical curiosity and a passion for applying advanced modelling techniques in problem solving. He or she must be self-motivated, dependable, and determined team player and be able to communicate complex concepts in simple terms and can tie analytic results to business outcomes.

• Building extending, deploying, maintaining, and troubleshooting ML solutions to help drive business metrics.
• Developing and initiating projects from start to finish.
• Collaborating with developers, product owners and other team members to rapidly build, test and deploy robust algorithms and data analytic solutions.
• Collaborating with Analytics and Data teams to optimize ML model performance and data pipelines.
• Ensuring our relevancy in the field of ML by staying up to date on the latest ML techniques and become the subject matter expert within the company.
• Being an advocate for data science, working with senior managers throughout the business, supporting helping them understand where and when it can add value to their processes.
• Developing solutions to complex problems without considerable technical direction.
• Creation of meaningful datasets for modelling and evaluation from a vast quantity of data in multiple formats.
• Communicating results to key decision-makers
• Other duties as assigned – we’re a start-up!

• Degree in quantitative discipline (Statistics, Math, Data Science, Computer Science, Engineering)
• 2+ years of experience as a machine learning engineer or data scientist
• Experience in the end-end deployment of Machine Learning Models
• Proven and demonstrated experience with data preparation, building, scaling, and optimizing machine learning solutions
• 2+ years of experience with developing software in object-oriented programming languages, including Python, Scala, Java, or C++
• Experience with machine learning tools, including Tensor Flow, Pytorch, or Scikit Learn
• Experience with DB structured query language (e.g. SQL)
• High degree of comfort and experience operating within an Agile environment (e.g., Kanban, Scrum)
• Experience utilizing or building CI/CD pipelines
• Experience utilizing and implementing components in cloud-based infrastructure (e.g., Azure, Amazon Web Services)
• Proficiency writing code and understanding object-oriented paradigms

• Are self-driven, organized, dependable and a determined team player
• Have a positive outlook and desire to drive and instill data quality throughout the organization
• Think analytically and solve complex problems within a team structure
• Are flexible and able to adapt to new processes and requirements in a dynamic environment
• Have strong, clear, and concise written and verbal communication skills
• Can effectively communicates technical information to non-technical people as and when required
• Are an advocate for innovation and drive change through persuasion and consensus
  
  Can translate issues/problems into solutions with tangible changes that improve the team or…