Machine Learning Engineer

This is a fully remote position, open to applicants in Portugal, +2 more countries.

📋 Description

• Develop and enhance machine learning solutions across various projects.

• Take full responsibility for assigned tasks and projects.

• Engage in client communications and articulate deliverables effectively.

• Comprehend business objectives and create solutions with metrics to monitor progress.

• Collaborate across teams including Data Engineering, DevOps, and Backend.

• Construct and sustain generative AI systems, integrating LLM-powered application features and agentic workflows.

• Create information retrieval pipelines that encompass data ingestion, chunking, embeddings, and vector search.

• Contribute to evaluation frameworks and oversee production monitoring for GenAI solutions.

• Manipulate, investigate, and visualize data, including data cleaning tasks.

• Deploy, maintain, and upgrade ML models and pipelines.

• Analyze model errors and devise strategies to address them.

• Develop and maintain technical documentation.

⛳️ Requirements

• Bachelor's degree in Computer Science or a related discipline.

• Over 2 years of experience in AI/ML engineering.

• Practical experience in building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search, and embeddings using popular frameworks (LangChain/LangGraph, LlamaIndex).

• Knowledge of statistical, ML, and deep learning algorithms.

• Familiarity with cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).

• Expertise in Python and core ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).

• Acquainted with containerization and orchestration tools.

• Proficient in English; meetings, customer calls, and business communications are conducted in English.

• CV must be written in English.

• A collaborative mindset, willingness to receive feedback, and a desire for personal growth.

• Eagerness to support and learn from more experienced teammates.

• Demonstrated autonomy, adaptability, and a consistently positive attitude.

🏝️ Benefits

• Every other Friday off, totaling 26 additional days off per year.

• Remote-first work culture.

• Explore and Relocation programs (three months of work abroad or full international relocation).

• 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 initiative.

• Clearly defined career path.