Senior Machine Learning Engineer

🕒 5 dias atrás

🌐 Portugal, Macedônia do Norte, +1 outros países – Remoto

🇵🇹 Portugal – Remoto 🇲🇰 Macedônia do Norte – Remoto 🇷🇸 Sérvia – Remoto

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de Machine Learning

👻 Score fantasma 12%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Loka

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

📣 Marketing

🏥 Saúde

Consulting • Marketing • Healthcare

A Loka é uma consultoria de software remota sediada no Vale do Silício que acelera a chegada de inovações ao mercado para startups financiadas e empresas Fortune 500 desde 2004. A empresa é especializada em diversos serviços, incluindo desenvolvimento para iOS e Android, desenvolvimento de aplicações web, machine learning, engenharia de dados e gestão de projetos. A Loka colabora com marcas renomadas, como Coca-Cola e Dyson, ajudando-as a lançar inovações e produtos de tecnologia. A empresa também investe em pesquisa e desenvolvimento interno por meio da LokaLabs™, promovendo a criatividade e a exploração de tecnologias emergentes.

Descrição

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results • Lead client communications, gathering requirements, managing expectations and communicating deliverables effectively • Understand business objectives and build solutions that help achieve them, along with metrics to track progress • Collaborate cross functionally with Data Engineering, DevOps and Backend teams to ensure seamless integration of ML solutions • Design, build and maintain generative AI systems end to end, including LLM-powered applications, agentic workflows and RAG pipelines • Establish evaluation frameworks and production monitoring for GenAI solutions, measuring output quality, accuracy, latency, cost and reliability • Wrangle, explore and visualize data, including data cleaning and analysis of distribution differences affecting post-deployment performance • Deploy, maintain and upgrade ML models and pipelines • Analyze model errors and design strategies to overcome them • Write and maintain technical documentation • Drive architectural decisions and contribute to high-level planning and strategy • Optimize solutions for performance, scalability and cost effectiveness, especially within AWS • Engage with clients to understand business and technical needs, evaluate solutions and define implementation approaches and estimates • Contribute to internal engineering initiatives and drive improvements • Serve as the primary ML specialist across multiple projects • Provide guidance and mentorship to junior ML engineers

🎯 Requisitos

• 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) • 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 • Excellent English, as a global team, we work entirely in English for meetings, customer calls and business communications • CV written in English

🏖️ Benefícios

• 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

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