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Middle ML & AI Engineer

3 weeks, 5 days ago
Spain, Czech Republic, Poland, Portugal, Romania, Ukraine
Full-time
Mid Level
AI Engineer
Software Development
Agile Generative AI LLM Machine Learning NLP Python PyTorch Scikit-learn Scrum spaCy SQL TensorFlow
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SPD Technology

SPD Technology

SPD Technology specializes in custom software product development, focusing on fintech and payment solutions, as well as AI/ML solutions, data engineering, and cloud services to help businesses leverage technology for growth and innovation.

Internet Software & Services
Founded 2006
View All Jobs 10

Description

  • Design, develop, and fine-tune generative AI and transformer-based models.
  • Build automated pipelines and intelligent agents using modern LLM frameworks such as LangChain, LangGraph, and LangSmith.
  • Integrate AI workflows with vector databases to support similarity search and real-time analysis.
  • Process and analyze large volumes of unstructured data using embeddings and statistical modeling.
  • Develop production-grade ML systems for real-time, high-volume data processing.
  • Collaborate with cross-functional Product and Engineering teams to improve data management and support innovation.
  • Mentor junior team members and serve as a technical resource for the team.
  • Stay current with trends in Agentic AI, transformer models, and generative systems.
  • Present complex analyses clearly to stakeholders and team members.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
  • 4+ years of production experience in the machine learning field.
  • Experience developing transformer-based models and deploying them in scalable systems.
  • Strong proficiency in Python.
  • Experience with machine and deep learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Spacy.
  • Experience with natural language processing and modern LLM-based techniques.
  • Experience across the full ML lifecycle, including data preprocessing, training, evaluation, and monitoring.
  • Skilled with SQL and data extraction methods.
  • Excellent communication skills and ability to collaborate with engineers and stakeholders.
  • Exposure to financial services, investment banking, venture capital, or private equity is preferred.

Benefits

  • Fully remote work with a flexible working schedule.
  • Stable workload and stable income.
  • Provided laptop and licensed software.
  • Performance and merit reviews.
  • Personal development plans and individual learning opportunities, including access to a corporate library.
  • Public speaking support.
  • Company-wide tech and cultural events.
  • Referral bonus program and support from HR.

Interested in this position?

Apply directly on the company website

Apply Now

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