Senior ML Ops Engineer

Cimulate is an AI-native eCommerce search and discovery platform built on cutting-edge LLM technology. We help commerce brands deliver radically better shopping experiences—faster, more relevant, and easier to manage—by understanding context rather than relying on brittle rules-based personalization. Backed by top investors and founded by a team who’ve already built and sold another commerce startup (Celect to Nike), we’re now building the future of contextual commerce, and we’re just getting started.  

The Role:

Cimulate is seeking a highly skilled ML Ops EngineerEngineer to join our dynamic team as we strive to revolutionize the future of commerce. In this pivotal role, you will have the opportunity to architect and implement innovative software solutions. As a Senior ML Ops Engineer, you will not only write code but also contribute to the strategic direction of our technology stack. Your deep understanding of infrastructure will enable you to create robust, scalable applications that are critical to our success. We are looking for someone who is not only technically proficient but also possesses strong problem-solving skills and a creative mindset. Your work will directly contribute to the advancement of our intelligent systems and will play a key role in achieving strategic goals. Join us on this journey to build innovative AI solutions that transform how businesses operate and engage with their customers, as we strive to become leaders in the realm of artificial intelligence.

Qualifications:

• Full-Stack Engineering Mindset: Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps infrastructure, with a versatile, full-stack approach.
• System Design & Cloud Architecture: Proven expertise in system design and cloud architecture, with a preference for experience on GCP.
• Backend Development: Strong skills in Python for backend and data-related tasks.
• Containerization & Orchestration: Experience in containerization with Docker and orchestration with Kubernetes. Knowledge of ArgoCD and Helm is an added advantage.
• MLOps & AI Systems: Experience in MLOps and developing AI systems, supporting the lifecycle of machine learning models and infrastructure.
• Data Engineering & Workflows: Proven ability to construct and manage robust data pipelines and event-driven workflows.
• DevOps & Infrastructure as Code (IaC): Experience in DevOps practices and Infrastructure as Code methodologies for consistent and scalable infrastructure management.
• Adaptability & Continuous Learning: Demonstrates eagerness and aptitude for rapidly adopting new frameworks, technologies, and best practices, with a commitment to staying current in a fast-evolving field.
• Problem-Solving & Collaboration: Strong problem-solving skills, with a proven ability to work effectively in cross-functional teams.
• Clear Communication: Excellent communication skills, capable of clearly articulating complex technical concepts to both technical and non-technical stakeholders.
• Code Quality & Maintainability: A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability.

Why Join Cimulate?

• Work with a passionate and collaborative founding team
• Make a real impact at an early-stage startup with high-growth potential
• Help redefine the future of online shopping and personalization

• Target compensation range: $140,000–$180,000 annually. This role also includes eligibility for an annual performance bonus, equity, and our full benefits portfolio. Final compensation is determined by experience, qualifications, and geographic location.