Remote Senior Machine Learning Engineer

Description:

• At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses.
• We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform.
• As a Senior Machine Learning Engineer, you'll engineer beautiful code in Python and take pride in your work.
• You will advocate for high-quality engineering and best practices in production software as well as rapid prototypes.
• This is a hands-on technical role, and we are particularly interested in candidates who desire to lead projects and take an active role in client discussions.
• Your responsibilities will include building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.
• You will need strong ML & Data Science fundamentals and know the right tools and approaches for each ML use case.
• You should be comfortable with model optimization and deployment tools and practices.
• Excellent communication and consulting skills are essential, along with a desire to meet real business needs and deliver innovative solutions using AI & Cloud.

Requirements:

• You should have multiple years of experience as a Machine Learning Engineer, preferably with a consulting background.
• Proficiency in Python as a backend language is required, with the ability to deliver production-ready code in well-tested CI/CD pipelines.
• Familiarity with cloud platforms such as Google Cloud, AWS, or Azure is necessary.
• Hands-on experience with foundational software engineering practices is expected.
• Strong knowledge of SQL for querying and managing data is required.
• Experience scaling computations using GPUs or distributed computing systems is essential.
• Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python) is needed.
• Strong communication and presentation skills are necessary to effectively convey technical concepts.
• Bonus points if you have scale-up experience or cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.).

Benefits:

• You will receive 20 days of paid vacation per calendar year.
• Public Holidays will be observed according to your Province of Residence.
• You will have 5 Wellness days for sickness, personal time, or mental health.
• You will also have 5 Lifestyle days for religious events, volunteer days, or sick days.
• A Matching Group Retirement Savings Plan will be available after 3 months.
• A competitive Group Insurance plan will be provided on Day 1, with individual premium paid 100%.
• You will have access to Virtual Medicine and a Family Assistance Program, both 100% employer-paid.
• A home office budget will be provided, as we are 100% remote, including CAD $70/month for internet/phone expenses and CAD $1,500 every 3 years for tech accessories and office equipment starting on Day 1.
• You will receive a company-supplied MacBook Pro or Air.
• CAD $400/year will be allocated for books, relevant app subscriptions, or an e-reader.
• Opportunities for paid certifications will be available.
• You will have opportunities for professional and personal learning through Udemy Business.
• Regular company off-sites and meetups will be organized.