Loka, Inc - Machine Learning Engineer
Requirements
• Bachelor's degree in Computer Science or a related field. • 2+ years of AI/ML engineering experience. • Hands-on experience building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search and embeddings, using common frameworks (LangChain/LangGraph, LlamaIndex). • Understanding of statistical, ML and deep learning algorithms. • Working knowledge of cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker). • Proficiency in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers). • Familiarity with containerization and orchestration tools. • A collaborative mindset, with openness to feedback and eagerness to grow your craft. • Willingness to support and learn from more senior teammates on the ML crew. • Autonomy, adaptability and a consistently positive presence on the teams you work with. • Building and deploying agents with common patterns (Agentic RAG, NLQ) and frameworks (smolagents, strands-agents). • MLOps/LLMOps experience, preferably in AWS, along with standard tooling (MLFlow, LangFuse). • Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. • 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. • Curious: • Autonomous and positive: You excel in a fully remote, globally distributed team. • Autonomous and positive: • Team player: You enjoy a collaborative approach. • Team player: • Adaptable: You operate with a startup mindset and move at a startup pace. • Adaptable: • Coachable: You take feedback well and are eager to grow your skills. • Coachable:
Responsibilities
• Project Work & Logistics • Take ownership of your assigned tasks and projects, accountability is key. • Participate in client communications, communicating deliverables clearly. • Understand business objectives and build solutions that help achieve them, along with metrics to track progress. • Collaborate cross functionally with other teams (Data Engineering, DevOps, Backend). • Build and maintain components of generative AI systems, including LLM powered application features and agentic workflows. • Build information retrieval pipelines within established architectural patterns (data ingestion, chunking, embeddings, vector search). • Contribute to evaluation frameworks and production monitoring for GenAI solutions. • Wrangle, explore and visualize data with a keen eye for data cleaning. • Deploy, maintain and upgrade ML models and pipelines, analyzing model errors and designing strategies to overcome them. • Write and maintain technical documentation.
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.
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