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Machine Learning Engineer Financial Services domain
  • Zgierz
Machine Learning Engineer Financial Services domain
Zgierz, Zgierz, Łódź Voivodeship, Polska
Sigma Software
18. 3. 2025
Informacje o stanowisku

We’re looking for a passionate Machine Learning Engineer to join our team and dive into the exciting world of Generative AI. You’ll work on cutting-edge demos and proof of concepts (POCs), turning bold ideas into reality. The ideal candidate brings solid Back-end engineering skills and a curiosity for Generative AI development. If you’re familiar with MLOps, large language models (LLMs), or concepts like Retrieval-Augmented Generation (RAG). Experience in the Financial Services domain, particularly Banking, will be a significant advantage.

You will be exposed to a variety of tasks, including:

  • Develop Proof of Concepts (PoC). Test and validate new ideas
  • Drive implementation, optimizing and transforming data solutions to improve business outcomes
  • Help with offerings as a technical consultant

Requirements:

  • 4+ years of experience in IT with at least 2-3 years of experience in machine learning
  • Solid Back-end engineering skills, particularly with Python (e.g., Django, Flask, or FastAPI)
  • Experience in pre-sales and opportunity processing
  • Basic experience with databases or tools like vector databases (e.g., Pinecone, Weaviate, Faiss)
  • Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face
  • Understanding of CI/CD pipelines
  • Knowledge of RAG or AI application basics (security, governance, etc.)
  • Experience with cloud platforms (AWS, Google Cloud, Azure) or on-premises setups
  • Strong problem-solving skills and ability to handle shifting priorities with Support team
  • Experience with client-facing roles
  • Excellent presentation and demonstration skills
  • Bachelor’s or Master’s degree in computer science, machine learning, artificial intelligence, or a related field
  • Upper-Intermediate level of English

Would be a plus:

  • Contributions to open-source projects or experience with tools like Airflow or Spark
  • Familiarity with containers (e.g., Docker) or orchestration tools (e.g., Kubernetes)
  • Experience in the Banking and Financial Services domain
  • Exposure to prompt engineering or fine-tuning LLMs
  • Knowledge of other languages like Java or Go

Responsibilities:

  • Assist in building and testing Generative AI demos and POCs
  • Support the design of simple, scalable architectures for Generative AI applications
  • Work with team members to integrate AI components into larger systems
  • Use MLOps practices to help automate parts of the model development process
  • Follow guidance to ensure Generative AI applications are secure and meet basic governance standards
  • Help deploy AI applications on cloud platforms or on-premises setups with team support
  • Adapt to a fast-paced environment with evolving project requirements
  • Keep up with AI trends and apply them to projects with guidance
  • Advise clients. Understand their needs, analyze possible solutions, and present the best options

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