Published: Fri, 03 Jan 2025 08:51:04 GMT
Lead Machine Learning Engineer – Join a Leading AI & Data Transformation Company
Datatonic is the premier partner of Google Cloud in AI, driving transformation for top-tier businesses. Our team specializes in machine learning, data engineering, and analytics on Google Cloud Platform, pushing the boundaries of technology. By partnering with us, clients future-proof their operations, gain valuable insights, and stay ahead in a rapidly evolving world.
Your Mission:
As the Lead Machine Learning Engineer, you will oversee and guide a growing team of talented Engineers, with a focus on Machine Learning Engineering and Data Science.
As the Pod Lead, you will play a critical 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 exciting 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 Machine Learning 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 Machine Learning 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 Machine Learning 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 Machine Learning 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.
What You’ll Bring:
– Leadership and Management: Demonstrated leadership and management experience of technical employees.
– Experience: 5+ years of experience in Machine Learning and Data Science, with a strong track record of delivering successful projects.
– Problem-Solving: Strong problem-solving and analytical skills.
– Team Leadership: Proven experience leading and mentoring teams of data scientists and machine learning engineers.
– Communication Skills: Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
– Technical Skills: 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: Passion for data and a desire to solve real-world problems using Machine Learning.
What’s in It for You?
At Datatonic, we believe in empowering our team to thrive, with benefits including:
– Holiday: 20 days paid vacation + 5 additional paid leave days during the company holiday closure.
– Wellness Days: 5 days for personal time, sickness, or other needs.
– Retirement Savings: Group Retirement Savings Plan with matching contributions.
– Health Insurance: Comprehensive group insurance (extended health & dental) with 100% individual premium paid by the employer.
– Telemedicine: 100% employer-paid telemedicine services.
– Remote Work Support: Home office budget provided for our fully remote work environment.
– Internet/Phone Expenses: CAD $70/month (paid quarterly) for internet and phone costs.
– Tech Accessories & Equipment: CAD $1,500 every 3 years for office equipment (monitor, keyboard, mouse, desk, etc.) starting from Day 1.
– Work Laptop: Company-supplied MacBook Pro.
– Learning Allowance: CAD $400/year for books or a reading device.
– Certifications: Opportunities for paid certifications.
– Learning Platform Access: Full access to Udemy Business for both professional and personal development.
– Team Engagement: Regular company off-sites and meetups.
Why Datatonic?
Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.
Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged – it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!
Salary: CAD 150,000$ – CAD 170,000$
Are You Ready to Make an Impact?
Apply now and take your career to the next level as our Lead Machine Learning Engineer. Apply link
