Machine Learning Engineer, Financial Services

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23 hours ago

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Sigma Software Group

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Software Development • Gaming • Telecommunications

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

1001 - 5000 employees

Founded 2002

🎮 Gaming

📡 Telecommunications

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Remote work options