At Loka we use a modern tech stack to support meaningful projects across a huge range of industries. In the last year we’ve helped clients advance the world’s #1 AI reading tutor, eliminate $1B in food waste and develop novel drugs for fighting cancer, all while enjoying every other Friday off. Join us, feed your need to grow and ship projects you believe in with a team you’re proud to lead.
We’re seeking a Machine Learning Team Lead to deploy, secure and maintain ML models in production environments, mainly AWS. The ideal candidate will not only apply their technical brilliance but also take a leadership role in contributing positively to Loka’s unique culture.
The Role
- Lead a team of ML engineers in architecting, building and optimizing scalable, cost-efficient ML models and ensuring performance in production environments.
- Provide constructive team feedback through regular one-on-one meetings and drive technical and professional development.
- Manage end-to-end ML projects, including data exploration, model development, deployment and scaling while delivering solutions that meet business and client needs.
- Collaborate with stakeholders to align ML initiatives with strategic objectives, ensuring clear communication with both technical and non-technical audiences.
- Drive technical innovation within the team by staying current with the latest AI/ML trends, implementing cutting-edge techniques.
- Foster the team's professional growth by creating development plans and encouraging a positive, collaborative remote working environment.
- Own the development and automation of ML workflows, including data pipelines and model deployment, with a focus on scalability and efficiency.
- Ensure strong cross-functional collaboration with Data Engineering, DevOps, BackEnd and other teams to deliver cohesive solutions.
- Work closely with senior leadership to align ML initiatives with long-term company strategies.
Hard Skills Requirements
- 5+ years of experience in machine learning, with 3+ years leading a team
- Strong knowledge of Python, ML libraries and frameworks such as PyTorch, HuggingFace and TensorFlow
- Hands-on experience with GenAI solutions using LLMs (even if not at an expert level), including prompt engineering and an understanding of common patterns like RAG and NLQ
- Client-facing experience, including the ability to gather requirements, set expectations and deliver technical presentations, sometimes to non-technical people
- Bachelor’s degree in Computer Science, Engineering or related field
Additional Requirements
- Excellent English language skills - Being a global team, we work entirely in English for meetings, customer calls and business communications
- Clean criminal record
- CV written in English
Not Required but Nice to Have
- Experience with AWS
- Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings
- Familiarity with MLOps best practices and tools
Personality Profile
- Curiosity: Eager to stay ahead in the rapidly evolving ML field and apply new technologies
- Autonomy & Positivity: Thrives in a remote, globally distributed team
- Leadership: Capable of leading with empathy, motivating team members and fostering a collaborative culture
- Adaptability: Comfortable operating with a startup mindset, able to pivot and scale quickly
- Client-Focused: Understand client needs and balance them with technical realities to deliver impactful solutions
Benefits
- Every other Friday off (26 extra days off a year)
- Remote and flexible
- Explore and Relocation programs (three months work abroad or full international relo)
- Paid sick days and local holidays
- Premium mental health subscriptions
- Access to LokaLabs™, our internal research and development program
- LokaLabs incubator
- Fitness subscription
- Mental wellness programs
- Defined career path
- Business English classes
Your achievements matter to us! Ensure your CV, LinkedIn and GitHub profiles are up to date and accurately reflect your experience.
