Senior Machine Learning Engineer job opportunity at CRESTA.

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CRESTA Senior Machine Learning Engineer
Experience: 6-years
Pattern: remote
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Engineering

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degreePhD
loacation US, Canada, Canada
loacation US, Canada....Canada

At #Cresta, we are dedicated to building state-of-the-art #Machine #Learning systems that leverage Large Language Models (#LLMs), Retrieval-Augmented Generation (#RAG), and other #AI techniques to power our products. Our team develops models and platforms that process complex data, extract meaning, and deliver real-time, actionable intelligence at scale. By combining cutting-edge research with scalable engineering, we enable organizations to make data-driven decisions and unlock the full potential of AI in their workflows.A key focus of this role is designing and developing agentic AI workflows that empower users to dynamically interact with machine learning systems, refining and guiding the discovery process in an iterative and interactive manner. You will also design and implement evaluation frameworks to assess model performance, reliability, and usability in real-world applications. Our goal is to provide intelligent, context-aware AI systems—enhanced by RAG techniques—that deliver accurate insights, adapt to user needs, and integrate seamlessly into enterprise applications.As a Machine Learning Engineer, you will be at the forefront of applying modern ML and NLP techniques to solve complex challenges. Your work will focus on building robust, scalable AI solutions, developing RAG-powered systems, evaluating LLMs, and creating real-time, agent-driven workflows that bring AI into the hands of our customers in powerful and intuitive ways. __ Responsibilities Build and optimize agentic AI workflows that enable users to dynamically interact with and refine outputs from ML systems. Research and implement advanced ML and NLP techniques, including transformer-based models, embeddings, and retrieval-augmented generation. Develop evaluation frameworks to assess accuracy, robustness, and usability of ML/LLM models in production environments. Design, train, and deploy machine learning models for tasks such as classification, entity identification, information extraction, retrieval, topic discovery, and structured insight generation. Architect and optimize RAG pipelines for grounding LLMs with enterprise data to ensure accuracy and reliability. Collaborate with engineers, UX designers, and product managers to integrate AI-driven capabilities into Cresta’s platform. Optimize ML pipelines and data processing systems to operate efficiently at scale. __ Qualifications We Value Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field. 5+ years of hands-on experience building and deploying ML models in production. Strong knowledge of ML frameworks and NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, spaCy, NLTK). Solid experience with modern ML techniques including transformer architectures, embeddings, retrieval systems, and large-scale model training. Experience designing and deploying Retrieval-Augmented Generation pipelines for enterprise use cases. Familiarity with evaluation and benchmarking frameworks for ML/LLM models. Strong passion for AI-driven innovation, with a proven ability to deliver impactful, production-grade solutions.

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