Full-Time Lead ML Engineer
Datatonic is hiring a remote Full-Time Lead ML Engineer. The career level for this job opening is Manager and is accepting Canada based applicants remotely. Read complete job description before applying.
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Shape the Future of AI & Data with Us
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.
By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.
Your Mission
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 Pod 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.