Description:

Loka is seeking a Machine Learning Team Lead to deploy, secure, and maintain ML models in production environments, primarily on AWS.
The role involves leading a team of ML engineers in architecting, building, and optimizing scalable, cost-efficient ML models while ensuring performance in production environments.
The candidate will provide constructive feedback through regular one-on-one meetings and drive technical and professional development within the team.
Responsibilities include managing end-to-end ML projects, collaborating with stakeholders to align ML initiatives with strategic objectives, and ensuring clear communication with both technical and non-technical audiences.
The lead will drive technical innovation by staying current with the latest AI/ML trends and implementing cutting-edge techniques.
The role requires fostering the team's professional growth by creating development plans and encouraging a positive, collaborative remote working environment.
The candidate will own the development and automation of ML workflows, focusing on scalability and efficiency, and ensure strong cross-functional collaboration with Data Engineering, DevOps, BackEnd, and other teams.
The position involves working closely with senior leadership to align ML initiatives with long-term company strategies.

Requirements:

The candidate must have 5+ years of experience in machine learning, with at least 3+ years in a leadership role.
Strong knowledge of Python and ML libraries and frameworks such as PyTorch, HuggingFace, and TensorFlow is required.
Hands-on experience with GenAI solutions using LLMs, including prompt engineering and an understanding of common patterns like RAG and NLQ, is necessary.
Client-facing experience is essential, including the ability to gather requirements, set expectations, and deliver technical presentations to non-technical audiences.
A Bachelor’s degree in Computer Science, Engineering, or a related field is required.
Excellent English language skills are mandatory, along with a clean criminal record and a CV written in English.
While not required, experience with AWS, consultancy environments, or startups, and familiarity with MLOps best practices and tools are considered nice to have.

Employees enjoy every other Friday off, totaling 26 extra days off per year.
The position offers remote and flexible working arrangements.
There are explore and relocation programs available, allowing for three months of work abroad or full international relocation.
Paid sick days and local holidays are provided.
Employees have access to premium mental health subscriptions and mental wellness programs.
The company offers a fitness subscription and access to LokaLabs™, an internal research and development program.
There is a defined career path and business English classes available for professional development.