Software Engineer (ML Platform)

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Requirements:

• Bachelors or Master's degree in Computer Science or related technical fields.
• 3+ years of experience in software development, with a strong focus on workflow orchestration and MLOps.
• Proficient in programming languages such as Python, Go.
• Familiar with ML/NLP libraries such as PyTorch, Tensorflow, Transformers.
• Familiar with machine learning model deployment and optimization using inference engines/servers (e.g., Triton Inference Server, ONNX Runtime) to support scalable and efficient real-time inference.
• Solid understanding of software development principles, data structures, algorithms, and design patterns.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

Responsibilities:

• Collaborate with product managers, machine learning engineers, and other cross-functional team members to understand, define, and detail product requirements, ensuring alignment with business objectives.
• Design, prototype, and validate LLM-based orchestration and workflow to automate repeated knowledge work involved in daily life of contact center agent.
• Work with our production teams to build and deploy scalable, high-performing, and reliable MLOps 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.