Job Title

SummaryWe’re a fully female-founded company on a mission to change the way people search and shop online for fashion...forever! We’re going to spark a new era of fashion discovery, igniting confidence in everybody and every body, and to create a world where fashion confidence starts with “us”.We are at the beginning of an exciting journey and we’re looking for top talent to join our team. Unlike many start-ups we’re well funded, have a detailed business and financial plan, and are looking for experienced, passionate professionals to join us in creating and scaling a game-changing business.So if you want a role where you will make a major impact and want to be a part of a team of women building an incredible product and experience for other women, come join us and make the most move of your career!About the RoleWe're looking for an experienced ML (Machine Learning) Ops Engineer to design, build andscale the infrastructure on which we deploy our ML models. This role is perfect for someonewho thrives on building scalable, high-performance systems and reliable backend services.You'll work closely with data science and engineering to deploy and integrate our model intobusiness applications, APIs and micro services. You’ll also be directly responsible formonitoring and logging, ensuring security and compliance, and optimising performance ofthe environment.Key ResponsibilitiesModel Deployment & Serving: Design, build, and maintain scalable infrastructure to deploy ML models developed by the Data Science team into production.Provisioning Cloud Resources: Automating the setup and management of scalable, repeatable, and secure cloud infrastructure (AWS) using Terraform and Infrastructure as Code (IaC) best practicesCI/CD & Automation: Implement CI/CD pipelines to automate model deployment, working with engineering to align on existing practices.Backend Integration: Work with engineering teams to integrate ML models into business applications, APIs, and microservices.Monitoring & Logging: Set up robust monitoring, logging, and alerting for the implemented services, model performance, and system reliability.Data Engineering Support: Collaborate on data pipelines and ETL processes.Security & Compliance: Ensure ML infrastructure is secure, follows best practices, and adheres to compliance regulationsPerformance Optimisation: Optimise resource utilisation and reduce latencyExperience & QualificationsExperience: 3+ years in MLOps, DevOps, or Cloud Engineering with a focus on ML model deploymentCloud Platforms: AWS including services like Sagemaker, Lambdas, S3, EC2, ECS, Fargate, RDS, MongoDB, CloudwatchProgramming skills: Strong coding ability in Python and BashCI/CD & Automation: Github Actions, Github CI/CDObservability: Experience and familiarity with observability toolsML Frameworks: Understanding of TensorFlow, PyTorch, OpenAI, HuggingFaceML Areas: experience working with solutions within LLM and computer visionCollaboration: Ability to work closely with Data Scientists, Engineers, and Software EngineersWork ScheduleAs the client is UK-based, you will be required to work in UK daytime:Monday to Friday14:00 - 23:00 IST (08:30 am - 17:30 GMT)Pay & Benefits - What you’ll get in return:Annual CTC: 8 to 12 lakhsFully remote role