Middle ML & AI Engineer

🔥 1 hour ago

🌐 Ukraine, Poland, +4 more countries – Remote

🇺🇦 Ukraine – Remote 🇵🇱 Poland – Remote 🇪🇸 Spain – Remote 🇵🇹 Portugal – Remote 🇷🇴 Romania – Remote 🇨🇿 Czechia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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SPD Technology

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2006

💳 Fintech

🤖 Artificial Intelligence

🤝 B2B

Fintech • Artificial Intelligence • B2B

SPD Technology is a global software product development company that delivers custom digital platforms, cloud and DevOps, AI/ML, and fintech/payment solutions. They specialize in application modernization, data analytics and engineering, system integration and APIs, security and quality engineering, and mobile/web UX/UI development. SPD works as a B2B partner for enterprise and growth-stage clients (notable customers cited include PitchBook and Poynt), focusing on building payment systems, billing and fraud-detection software, data platforms, and AI-enabled products for industries such as fintech, insurance, healthcare, and e-commerce.

📋 Description

• Design, develop, and fine-tune generative AI models using transformer architectures • Implement advanced generative AI techniques for real-world challenges • Use LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents • Integrate modern AI toolkits with vector databases for similarity search and real-time analysis • Process and analyze large volumes of unstructured data using embeddings and statistical modeling • Build production-grade ML systems for real-time, high-volume data processing • Mentor junior team members • Stay updated on Agentic AI, transformer models, and generative systems • Collaborate with Product and Engineering teams on data management and innovation • Present complex analyses clearly and effectively • Build NLP pipelines with PyTorch, Scikit-Learn, and Spacy • Develop hybrid models to extract insights from diverse data sources • Work within a Scrum-based Agile methodology

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field • 4+ years of production experience in the ML field • Track record developing transformer-based models and deploying them in scalable systems • Proficiency in Python • Proficiency in machine and deep learning frameworks such as TensorFlow, PyTorch, ScikitLearn, and Spacy • Experience with natural language processing and modern LLM-based techniques • Experience with the full ML lifecycle, including data preprocessing, training, evaluation, and monitoring • SQL and data extraction skills • Ability to attend all team meetings • Strong problem-solving ability and interest in Generative AI trends • Strong communication and collaboration skills

🏖️ Benefits

• Flexible work schedule • Fully remote work around the globe or hybrid work from office hubs • Stable workload and stable income • Performance reviews and career path • Mentorship program • Personal development plan • Individual learning through the corporate library • Public speaking support • Company-wide tech and cultural events • Meaningful CSR initiatives • Supportive and flexible work environment • Professional and personal growth opportunities

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