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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