Senior Machine Learning Engineer
Loka® Inc · LatAm, North Macedonia, Portugal, Serbia · remote
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.