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
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
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
Responsibility
- 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
WHY US
- Diversity of Domains & Businesses
- Variety of technology
- Health & Legal support
- Active professional community
- Continuous education and growing
- Flexible schedule
- Remote work
- Outstanding offices (if you choose it)
- Sports and community activities
