Senior ML & AI Engineer

🕒 July 31

🌐 Ukraine, Poland, +3 more countries – Remote

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

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.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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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

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges. • Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis. • Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights. • Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing. • Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems. • Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.

🎯 Requirements

• Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field. • Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems. • Technical Expertise: • - Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other. • - Experienced in natural language processing and modern LLM based techniques. • - Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques • - Skilled with SQL and data extraction methods. • Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI. • Collaborator & Communicator: You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders. • Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have.