Senior Machine Learning Engineer (Chat Agent)

Cresta is a startup that applies AI to improve Call Center operations using a patented real‑time coaching platform. We provide dynamic, live guidance to every agent based on the best practices of the top performers. As an ML software engineer you will join a team of experts in frontend, backend, and ML/NLP. The team builds, evaluates, and deploys conversational AI models using state‑of‑the‑art LLM and GPT technologies. What you will do Collaborate with product managers, data scientists, and other cross‑functional team members to understand, define, and detail product requirements, ensuring alignment with business objectives. Design, prototype, and validate ML/NLP models to solve challenging cutting‑edge problems, using state‑of‑the‑art techniques (including LLM and ChatGPT) and best practices. Work with production teams to build and deploy scalable, high‑performing, and reliable ML/NLP pipelines and systems that operate 24x7. Actively contribute to the continuous improvement of our ML productivity by identifying and leveraging opportunities for automation, data improvements, code optimization, and process enhancements. Help shape the direction of machine learning and artificial intelligence at Cresta. What we look for Master's degree or PhD in Computer Science or related technical fields. Minimum of 5 years of experience in software development, with a strong focus on machine learning and natural language processing. Proven hands‑on experience in developing, deploying, and maintaining ML/NLP models and pipelines. Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers. Solid understanding of software development principles, data structures, algorithms, and design patterns. Experience with LLMs. Experience with model optimization. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Strong problem‑solving, communication, and collaboration skills. Actual base salaries will be based on candidate‑specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in Canada, and offer competitive local pay and benefits. Your recruiter can provide further details. #J-18808-Ljbffr Cresta