Machine Learning Engineer (Financial Services domain)

• 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

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.