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
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.

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Machine Learning Lead

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