Senior Machine Learning Engineer

🔥 13 hours ago

🌐 North Macedonia, Portugal, +1 more countries – Remote

🇲🇰 North Macedonia – Remote 🇵🇹 Portugal – Remote 🇷🇸 Serbia – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Loka

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Loka is a remote software consultancy based in Silicon Valley that accelerates innovations to market for funded startups and Fortune 500 companies since 2004. They specialize in a variety of services including iOS and Android development, web application development, machine learning, data engineering, and project management. Loka collaborates with notable brands such as Coca-Cola and Dyson, helping them launch tech innovations and products. The company also focuses on internal research and development through LokaLabs™, fostering creativity and exploration in emerging technologies.

📋 Description

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results • Lead client communications, gather requirements, manage expectations and communicate deliverables • 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 integrate ML solutions • Design, build and maintain generative AI systems end to end, including LLM-powered applications and agentic workflows • Implement RAG pipelines covering data ingestion, chunking, embeddings and vector search • Establish evaluation frameworks and production monitoring for output quality, accuracy, latency, cost and reliability • Wrangle, explore, visualize and clean data, accounting for 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 in AWS • Engage clients to understand business and technical needs, evaluate solutions, and define implementation approaches and estimates • Contribute to internal engineering initiatives and improvement projects • Serve as the primary ML specialist across multiple projects • Provide guidance and mentorship to junior ML engineers

🎯 Requirements

• 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 for meetings, customer calls and business communications • CV written in English

🏖️ Benefits

• 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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