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.

In Short

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

Requirements

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

Benefits

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