Lead Machine Learning Engineer (Team Lead)
New
D
DatatonicAI & Data
CanadaFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- GCPMachine LearningPyTorchData scienceTensorflowSoftware Engineeringscikit-learn
Requirements
- Demonstrated leadership and management experience of technical employees.
- 5+ years of experience in machine learning and data science.
- 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.
- Ability to explain complex technical concepts to non-technical audiences.
- Strong software engineering skills.
- Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms, especially Google Cloud Platform (GCP).
- Passion for data and solving real-world problems using machine learning.
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.
- 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.
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