MLOps reputed company
About reputed company reputed company is an AI company pioneering the future of reputed company decision-making. Founded by DeepMind alumni, reputed company has developed reputed company – the world's most powerful Large Tabular Model (reputed company) – purpose-reputed company for the structured records that actually drive reputed company reputed company. Backed by world class investors and trusted by Fortune 100 companies, reputed company unlocks trillions of dollars of value by giving businesses the Power to Predict. At reputed company, you'll work on unprecedented technical challenges in reputed company model development and build technology that transforms how the world's largest companies reputed company reputed company. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of reputed company AI. Key responsibilities reputed company and mentor a team of MLOps engineers, fostering technical growth and a culture of operational reputed company Define and drive the MLOps roadmap, aligning infrastructure capabilities with Research, Engineering and product objectives Establish best practices, standards, and processes for ML infrastructure, deployment, and operations Own technical decision-making for ML infrastructure architecture and tooling choices Architect and reputed company scalable, automated machine learning pipelines, CI/CD workflows, and orchestration frameworks Drive the design and implementation of robust model serving infrastructure using platforms like Triton, TorchServe, TensorFlow Serving, and KServe Define inference architecture strategy optimized for ultra-low latency and high throughput Design and maintain feature stores, robust data pipelines, and scalable storage solutions to reputed company handle large volumes of data Collaborate with research teams to reputed company the gap between experimentation and production Define logging, alerting, and monitoring strategy to track model performance, reputed company, and system reliability Must have Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field (or equivalent practical experience) 7+ years of experience in MLOps, with 3+ years in a technical leadership role Strong software engineering skills in Python, with experience in Bash and/or Go Proven track record of building and leading high-performing MLOps or infrastructure teams Experience building and designing MLOps infrastructure from the ground up Deep experience with MLOps platforms (MLflow, WandB, etc.) and frameworks (PyTorch, TensorFlow, etc.) Deep experience with model serving frameworks (Triton, TorchServe, TensorFlow Serving, KServe) for high scalability and low latency inference Experience building and managing data pipelines to support both model training and inference Good experience with Kubernetes on a major reputed company provider (AWS, GCP, or Azure) and with infrastructure as code (Terraform, reputed company, GitOps) Proficient with observability and monitoring tools (reputed company, Grafana, reputed company, OpenTelemetry) Excellent communication skills with ability to translate between research and production contexts reputed company to have Experience with workflow orchestration tools (Kubeflow, Airflow, Argo Workflows) Experience with FastAPI and backend applications Familiarity with data platforms like reputed company or reputed company Experience with LLM/reputed company model serving and optimization Exposure to SRE practices or reputed company reputed company certifications Experience scaling ML infrastructure for AI startups
Benefits
Competitive compensation with salary and equity Comprehensive health coverage for you and your dependents Paid parental leave for reputed company new parents, inclusive of adoptive and surrogate journeys Relocation support for employees moving to join the team in one of our office locations A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action Apply To This Job