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Machine Learning Engineer (Financial Services domain)
Sigma SoftwareRomaniaÎn urmă cu 13 zile
Descrierea postului4+ 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 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 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
Overview
Required skills
Python / Go / strong AI frameworks (TensorFlow, PyTorch, or Hugging Face) / strong Proven experience with GenAI / strong Experience with cloud platforms / strong English / strong
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
Requirements
Would be a plus
Responsibilities
Responsibilities
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