Senior Machine Learning Engineer

Loka; Portugal; Teletrabalho; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Every other Friday off

Paid sick days

Fitness and/or Mental Health Subscriptions

Business English classes program

Explore and Relocation programs

Access to LokaLabs™

Resumo da oferta

A global tech consultancy is looking for a Senior Machine Learning Engineer to design and implement innovative ML solutions. This role entails collaborating across teams and directly interfacing with clients while leading projects to solve real-world problems. The ideal candidate will have extensive experience in AI/ML engineering and relevant technical skills. They will enjoy a remote-first culture, receive numerous benefits, and have opportunities for personal and professional growth.

Qualificações

• 4+ years of AI/ML engineering experience required.
• Experience building generative AI solutions.
• Excellent command of English for global communications.

Responsabilidades

• Design and implement complex ML systems.
• Lead client communications and manage expectations.
• Continuously optimize models for performance.

Conhecimentos

AI/ML engineering experience

Python programming

Client-facing experience

Experience with ML libraries

Familiarity with containerization tools

Excellent English communication

Formação académica

Bachelor’s degree in Computer Science or related

Ferramentas

sklearn

PyTorch

TensorFlow

AWS

Descrição da oferta de emprego

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what?

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point.

Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights.

Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters.

We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too.

The Role

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
• Drive architectural decisions and contribute to high-level planning and strategy.
• Direct report to ML leads.
• Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
• Write and maintain technical documentation.
• Provide guidance and mentorship to junior ML engineers within the team.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
• Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills

• 4+ years of AI/ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagenst, strands-agents etc.)
• Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
• Client-facing experience
• Familiarity with containerization and orchestration tools

Additional Requirements

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications

Not Required but Nice to Have

• Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse)
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills

• Curiosity: Strive to learn and grow into different industries with a modern tech stack.
• Autonomy and positivity: We’re a fully remote, globally distributed team.
• Teamwork: Enjoy a collaborative approach.
• Adaptability: Operate with a startup mindset and move at a startup pace.
• 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
• 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 and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.