Machine Learning Lead

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.