Senior Machine Learning Engineer

Years from now, history will look back at this moment as a landmark for the human race, the moment generative AI began to change everything. At Loka, we're not just watching it happen, we're

Misson Support

• Engage with clients to understand their business and technical needs, evaluate potential solutions, and define high-level implementation approaches and estimates.
• Contribute to internal engineering initiatives and projects, helping identify opportunities for improvement and drive their implementation.

Mentoring & Leadership

• Serve as the primary ML specialist across multiple projects, elevating the team's work.
• Provide guidance and mentorship to junior ML engineers within the team.

What You'll Bring

Technical Skills

• Bachelor's degree in Computer Science or a related field.
• 4+ years of AI/ML engineering experience.
• Proven experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, and developing agents with common patterns (Agentic RAG, NLQ), using frameworks such as LangChain/LangGraph, LlamaIndex, smolagents and strands-agents.
• Understanding of statistical, ML and deep learning algorithms.
• Solid experience with cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).
• Experience with containerization and orchestration tools.
• Client-facing experience.
• Deep proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).

Leadership & Soft Skills

• A track record of mentoring junior engineers and elevating team output.
• Confidence leading client communications and managing expectations independently.
• Autonomy, adaptability and a consistently positive presence on the teams you work with.

Not Required but Nice to Have

• MLOps/LLMOps experience, preferably in AWS, along with standard tooling (MLFlow, LangFuse).
• Experience in consultancy environments or startups, including managing projects and adapting to different settings.

Additional Requirements

• Excellent English, as a global team, we work entirely in English for meetings, customer calls and business communications.
• CV written in English.

Personality Profile

• Curious: You strive to learn and grow into different industries with a modern tech stack.
• Autonomous and positive: You excel in a fully remote, globally distributed team.
• Team player: You enjoy a collaborative approach.
• Adaptable: You operate with a startup mindset and move at a startup pace.
• Empathetic: You lead and mentor with patience and compassion.

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV, LinkedIn and GitHub profiles are up to date and accurately reflect your experience.