[Hiring] Lead Machine Learning Engineer @Datatonic

Role Description

As a Lead ML Engineer, you will be responsible for overseeing and guiding a growing team of Engineers, specializing in Machine Learning Engineering and Data Science. As the Team Lead, you will play a crucial role in ensuring the successful delivery of innovative solutions, fostering a collaborative and high-performance team environment, and driving the technical direction of projects. This is an excellent opportunity for someone who thrives in a dynamic, fast-paced setting and is eager to contribute to the success of both the team and the organization.

What You’ll Do

• Team Leadership:
  • 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.
• Delivery Leadership:
  • 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.
• Client Leadership:
  • 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.
• Technical Leadership:
  • Actively participate in the sales process as a subject matter expert, designing robust, scalable ML solutions, scoping Statements of Work (SOW), and providing accurate delivery effort estimates.
  • Collaborate with fellow technical leads and subject matter experts to architect innovative solutions tailored to client needs.
  • Lead or contribute to internal initiatives and special projects aimed at advancing the ML practice, including developing new methodologies, enhancing tools, and refining best practices.
  • Stay current with the latest developments in machine learning and AI, sharing new knowledge and insights with the team to maintain a cutting-edge approach.

Qualifications

• 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