Machine Learning Engineer (Financial Services domain)

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 Banking and Financial Services domain 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  

• 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 

• 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