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

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