Senior Machine Learning Engineer

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

📋 Description

• Collaborate with clients to comprehend their business and technical requirements, assess possible solutions, and outline high-level implementation strategies and estimates.

• Participate in internal engineering initiatives and projects, pinpointing areas for improvement and facilitating execution.

• Act as the lead ML specialist across various projects, enhancing the quality of the team's output.

• Offer guidance and mentorship to junior ML engineers within the team.

⛳️ Requirements

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

• Over 4 years of experience in AI/ML engineering.

• Demonstrated experience in developing GenAI solutions, prompt engineering, fine-tuning and deploying LLMs, as well as creating agents using common patterns (Agentic RAG, NLQ), utilizing frameworks such as LangChain/LangGraph, LlamaIndex, smolagents, and strands-agents.

• Strong understanding of statistical methods, ML, and deep learning algorithms.

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

• Proficient in containerization and orchestration tools.

• Experience in client-facing roles.

• High proficiency in Python and essential ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).

• A proven record of mentoring junior engineers and enhancing team performance.

• Ability to confidently lead client communications and manage expectations independently.

• Demonstrate autonomy, adaptability, and a consistently positive attitude within teams.

• Excellent command of English; the global team operates entirely in English for meetings, customer interactions, and business communications.

• CV must be submitted in English.

• Experience in MLOps/LLMOps, preferably on AWS, along with standard tools (MLFlow, LangFuse) is not mandatory but advantageous.

• Background in consultancy settings or startups, including project management and adaptability to varying environments, is not essential but preferred.

🏝️ Benefits

• Every other Friday off (26 additional days off per year).

• Remote-first work culture.

• Opportunities for exploration and relocation programs (three months of working abroad or full international relocation).

• Paid sick days and local holidays.

• Business English classes program.

• Support for continuous learning.

• Subscriptions for fitness and/or mental health services.

• Access to LokaLabs™, our internal research and development program.

• Clearly defined career path.