Machine Learning Operations

About Voltai:Voltai is an AI company building frontier foundation models and agentic systems for semiconductor and electronics design.We are one of the fastest-growing startups (in terms of valuation and revenue bookings) and leader in AI for electronics design. Backed by the world's top VC firm, we are working with some of the world’s largest semiconductor and electronics companies.The founding team consists of Olympiad medalists, ICPC world champions, and university professors. In addition, our business team has a proven track record, having scaled revenue from $0 to $400M in just four years at their previous company.
Key Responsibilities:

• Design, build, and maintain scalable ML pipelines for training, evaluation, and deployment of LLMs and retrieval-augmented systems, optimized for performance, traceability, and reproducibility
• Operationalize evaluation workflows using both synthetic and human-labeled datasets to monitor model quality at scale across multiple downstream tasks and customer deployments
• Automate the ML Developer lifecycle by implementing robust data versioning, model tracking, and CI/CD pipelines using modern ML Ops tooling
• Optimize model training and inference, focusing on reducing latency, maximizing throughput, and controlling cost across heterogeneous hardware environments.
• Collaborate cross-functionally with research, infrastructure, and product teams to productionize foundation models and integrate them into customer-facing AI products
• Deploy and manage both open-source and proprietary models within stringent constraints on latency, security, and compliance—balancing reliability with innovation.
• Implement real-time monitoring and alerting systems to detect model/data drift, quality regressions, and infrastructure bottlenecks in live environments.
• Work directly with enterprise customers, supporting deployment strategies, ensuring production readiness, and creating tight feedback loops from real-world usage to continuous model improvement

Required Skill Sets:

• Software Engineering Expertise: Proven experience in building reliable and scalable systems, with a strong foundation in software engineering principles and expertise with Python, Go, or Rust
• ML Ops Platforms: Hands-on experience with ML Ops platforms such as MLflow, Kubeflow, SageMaker, Vertex AI, or Apache Airflow, facilitating efficient model lifecycle management
• Cloud-Native Tools: Proficiency in cloud-native tools including Docker, Kubernetes, storage optimizers. Experience with major cloud providers like AWS, GCP or other compute providers for deploying and managing ML workloads with a focus on cost optimization
• Experiment Tracking & Model Management: Proficiency in tools like Weights & Biases, MLflow, and/or CometML for tracking experiments, managing model metadata, and facilitating collaboration
• Infrastructure: Familiarity with infrastructure tools like Terraform, Pulumi, and Chronosphere for monitoring and alerting.
• Demonstrated ability to translate research findings into robust, production-ready systems, bridging the gap between experimentation and deployment.

Bonus Points:

• Some background in hardware/electronics, gained through professional, academic, or personal projects
• Contributions to open-source initiatives
• Notable awards or publications in leading journals/conferences
• Experience thriving in a fast-paced, hyper-growth startup environment

Our Benefits:

• Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked.
• Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered.
• Commitment to Your Growth: At Voltai, we’re dedicated to your continuous learning and development. Whether it’s through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field.
• Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.