Machine Learning Engineer (Financial Services domain)

AI overview

Drive innovation in Generative AI by developing scalable architectures and proof of concepts to meet evolving client needs in the 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 

PERSONAL PROFILE

  • Passionate about Generative AI and emerging technologies
  • Strong problem-solving skills and adaptability in fast-paced environments
  • Excellent communication and presentation abilities
  • Curious and eager to explore new AI concepts and tools

   

 

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