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.