Datatonic
Lead Machine Learning Engineer (Team Lead)
3w ago
LATAMLeadRemotemachine learningdata engineeringgoogle cloudteam leadership
Lead and manage a team of machine learning and data engineering professionals to deliver advanced AI solutions.
Responsibilities
- 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.
Other
- 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.
- We are excited to scale our impact by launching a high-performing Machine Learning and Data Engineering hub in Santiago, Chile. Working in tandem with our established AMER Practice, our Santiago-based experts will lead the delivery of advanced, client-facing solutions for major North American businesses. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.
- 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.
- 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.
- Datatonic is a UK-based company with a rapidly growing Americas division. Our Santiago hub works as a fully integrated extension of our Canadian practice, delivering high-impact solutions directly to North American clients. Because this role is highly collaborative and client-facing, fluent professional English is required. We are currently hiring remotely across Santiago, with the exciting potential to transition to a physical office space in the city in the future.
- 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!
- Are you ready to make an impact?