Senior Machine Learning Engineer

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🔥 3 minutes ago

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

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

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 15%

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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Speak Pharma

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Speak Pharma is a platform dedicated to providing pharmaceutical insights through curated events and webinars. It fosters collaboration and innovation within the global pharmaceutical community by offering high-value learning opportunities and essential knowledge tailored for professional growth. The company emphasizes networking among peers, expert-led sessions, and comprehensive solutions for challenges faced in the pharmaceutical industry.

📋 Description

• Engage with clients to understand their business and technical needs, evaluate potential solutions, and define high-level implementation approaches and estimates • Contribute to internal engineering initiatives and projects, identifying opportunities for improvement and driving implementation • Serve as the primary ML specialist across multiple projects, elevating the team's work • Provide guidance and mentorship to junior ML engineers within the team

🎯 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; the global team works entirely in English for meetings, customer calls and business communications • CV written in English • MLOps/LLMOps experience, preferably in AWS, along with standard tooling (MLFlow, LangFuse) is not required but nice to have • Experience in consultancy environments or startups, including managing projects and adapting to different settings, is not required but nice to have

🏖️ 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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