Senior Machine Learning Engineer

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

📋 Description

• Interact with clients to grasp their business and technical requirements, assess potential solutions, and outline high-level implementation strategies and estimates.

• Contribute to internal engineering projects and initiatives, recognizing areas for enhancement and spearheading execution.

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

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

⛳️ Requirements

• 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 serving LLMs, search and embeddings, and creating agents with common patterns (Agentic RAG, NLQ), utilizing frameworks such as LangChain/LangGraph, LlamaIndex, smolagents, and strands-agents.

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

• Strong experience with cloud ML services, ideally AWS (Bedrock, AgentCore, SageMaker).

• Familiarity with containerization and orchestration tools.

• Experience in client-facing roles.

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

• Proven track record of mentoring junior engineers and enhancing team performance.

• Ability to confidently lead client discussions and manage expectations autonomously.

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

• Proficient in English; the global team conducts all meetings, customer interactions, and business communications in English.

• CV must be submitted in English.

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

• Experience in consultancy environments or startups, including project management and adapting to diverse settings, is beneficial but not essential.

🏝️ Benefits

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

• Remote-first working culture.

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

• Paid sick days and observance of local holidays.

• Business English classes program.

• Support for continuous learning.

• Subscriptions for fitness and/or mental health resources.

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

• Clearly defined career progression path.