Senior ML/AI Engineer

Senior ML/AI Engineer

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of software engineering experience, with strong expertise in data structures and algorithms.
• 3+ years of experience in ML model development, validation, deployment, and infrastructure.
• Proficiency in ML frameworks (TensorFlow, PyTorch), Generative AI, deep learning, NLP, and statistical methods.
• Extensive knowledge of cloud platforms including GCP (Vertex AI, BQML, Duet AI), AWS (Bedrock, Elasticsearch, SageMaker, EC2), and Azure ML.
• Solid foundation in data structures, algorithms, software architecture, and software engineering principles.
• Solid understanding of MLOps, ML lifecycle management, CI/CD practices, Docker, and related technologies.
• Demonstrated success collaborating within agile, cross-functional teams.

Responsibilities

• Collaborate with cross-functional teams (Product, Data, Engineering) to develop and implement AI/ML solutions.
• Establish and promote ML Operations and lifecycle management best practices.
• Design, build, and manage scalable ML infrastructure.
• Develop, validate, deploy, and monitor ML models and applications.
• Create and maintain optimized data pipelines.
• Utilize programming languages (Python, R, Scala, Java) and adopt CI/CD best practices, including automation and monitoring.
• Implement state-of-the-art Generative AI models and workflows (ASR, LLM, TTS, RAG, & Search).
• Stay up to date with emerging ML/AI technologies, frameworks, and best practices.
• Scale and support large distributed systems serving millions of customers daily.
• Maintain and extend RingCentral’s internal AI platform.
• Build Agentic AI products to drive business value.
• Ability to bring thought leadership to AI products & services.

Preferred Qualifications

No preferred qualifications provided.