MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Lead ML Engineer responsible for guiding a team to deliver innovative ML solutions at Datatonic. Overseeing project management while ensuring technical excellence and team collaboration.
Responsibilities
- Provide strategic and technical leadership to the ML team, ensuring alignment with best practices and industry standards.
- Recruit, hire, and onboard top talent, including data scientists and machine learning engineers, to strengthen the team.
- Offer mentorship and guidance, helping team members develop their technical skills and advance their careers.
- Foster a positive, inclusive, and innovative team culture that promotes collaboration and knowledge-sharing.
- Conduct regular performance reviews, set clear objectives, and provide constructive feedback to drive continuous improvement.
- Oversee and manage complex ML projects from initial concept to successful deployment.
- Ensure the delivery of high-quality outputs on time and within budget, maintaining rigorous standards throughout the project lifecycle.
- Collaborate with Delivery Managers to define project scope, timelines, resource allocation, and key milestones.
- Proactively track project progress, identify potential risks, and implement effective mitigation strategies to keep projects on track.
- Build and maintain strong, trusted relationships with clients, gaining a deep understanding of their business objectives and challenges.
- Communicate complex technical concepts clearly and effectively to both technical and non-technical client stakeholders.
- Present project findings, insights, and actionable recommendations in a compelling and client-friendly manner, ensuring alignment with their goals.
Requirements
- Demonstrated leadership and management experience of technical employees.
- 5+ years of experience in machine learning and data science, with a strong track record of delivering successful projects.
- Strong problem-solving and analytical skills.
- Proven experience leading and mentoring teams of data scientists and machine learning engineers.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Strong software engineering skills with a focus on machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and cloud platforms, especially Google Cloud Platform (GCP).
- Passion for data and a desire to solve real-world problems using machine learning.
Benefits
- 20 days of paid vacation per calendar year
- Public Holidays for your Province of Residence
- 5 Wellness days (sickness, personal time, mental health)
- 5 Lifestyle days (religious events, volunteer day, sick day)
- Matching Group Retirement Savings Plan after 3 months
- Competitive Group Insurance plan on Day 1 - individual premium paid 100%!
- Virtual Medicine and Family Assistance Program - 100% employer-paid!
- Home office budget - We are 100% remote!
- CAD $70/month for internet/phone expenses
- Company-supplied MacBook Pro or Air
- CAD $400/year for books, relevant app subscriptions or an e-reader.
- Opportunities for paid certifications
- Opportunities for professional and personal learning through Udemy Business
- Regular company off-sites and meetups
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