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Machine Learning Lead

Loka, Inc

Full-time
North Macedonia
machine learning
devops
python
aws
computer science
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

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.

About the job

Full-time
North Macedonia
17 Applicants
Posted 1 month ago
machine learning
devops
python
aws
computer science
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Machine Learning Lead

Loka, Inc
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

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.

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