Join our team as a Machine Learning Engineer, shaping the future of Generative AI with cutting-edge demos, scalable architectures, and hands-on development.
We’re looking for a passionate Machine Learning Engineer to join our team and dive into the exciting world of Generative AI. You’ll get hands-on experience with cutting-edge demos and proof of concepts (POCs), turning bold ideas into reality. The ideal candidate has solid Back-end engineering skills and is curious about Generative AI development. If you’re familiar with MLOps, large language models (LLMs), or concepts like Retrieval-Augmented Generation (RAG) is a plus, as is experience with Front-end languages! Experience in the Financial Services domain, particularly Banking, will be a big plus.
You will be exposed to a variety of tasks, including:
Develop proof of concepts (PoC). Test and validate new ideas
Drive implementation. Optimize and transform data solutions to improve business outcomes
Help with proposals as a technical consultant.
- 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 guidelines to ensure that 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 needs
- 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
- 4+ years of experience in IT industry, 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 with pre-sales activities 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 fundamentals (security, governance, etc.)
- Experience with cloud platforms (AWS, Google Cloud, Azure) or on-premises setups
- Ability to solve problems and handle shifting priorities with team support
- Experience with client-facing roles
- Ability to demonstrate ideas and solutions clearly and confidently
- 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
- Knowledge of other programming languages, such as Java or Go
- Experience with open-source projects or exposure to tools, such as Airflow or Spark
- Familiarity with containers (e.g., Docker) or orchestration tools (e.g., Kubernetes)
- Experience in the Banking and Financial Services domain
- Experience with prompt engineering or fine-tuning LLMs
Top Skills
What We Do
Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs.
Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts.
Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters
