Senior Machine Learning (ML) Ops Engineer (Computer Vision / Deep Learning)

**Kikbits** is working with a fast\-growing AI startup in the **computer vision \+ digital healthcare space** , building advanced systems for **facial analysis and smile simulation** . The startup intends to revolutionize dental CAD design and digital dentistry through artificial intelligence by replacing traditional CAD design workflows with AI\-powered solutions that dramatically improve efficiency, accuracy, and patient outcomes We are looking for a **Senior MLOps Engineer** with strong experience supporting **Computer Vision / Deep Learning teams** . **What you’ll be working on:** * Building and scaling ML pipelines for **image\-based AI models** * Supporting training and deployment of **computer vision models.** * Deploy, monitor, and maintain machine learning models in AWS and GCP production environments using containers and Kubernetes * Build and orchestrate automated ML, data, metric, and database pipelines (Docker, Kubernetes, Airflow, TFX). * Integrate best\-in\-class MLOps tools: MLflow, Kubeflow, Weights \& Biases, DVC, Amazon SageMaker, and Vertex AI to achieve robust model management and reproducibility. * Create robust, automated metric calculation and model performance tracking systems. * Collaborate with researchers, backend, and product engineers to deliver reliable, scalable AI systems into production. **Must\-have experience:** * MS or PhD in Computer Science, Engineering, or related STEM with at least 3\+ years of industry experience as an MLE, or a BS in STEM with 5\+ years’ experience as MLE. * Hands\-on with **Computer Vision or Deep Learning systems** * Advanced Python proficiency and deep experience with at least one major ML framework (TensorFlow, PyTorch, or similar). * Hands\-on expertise with Docker, Kubernetes, and end\-to\-end deployment in AWS and GCP environments. * Proven track record with MLflow, Kubeflow, Weights \& Biases, DVC, Amazon SageMaker, and/or Vertex AI in production settings. * Experience creating, managing, and automating data, metric, and database pipelines in cloud infrastructure. **Not a good fit, if:** * Your experience is primarily in **LLMs / ChatGPT / RAG** * You’ve mostly worked with **API\-based AI integrations** **Nice to have:** * Experience with facial recognition / medical imaging * GPU optimization \& distributed training **Reach out / refer:** If this sounds like you Apply away or if you know someone please do share. **About Us:** Kikbits is a tech company that provides **Professional Software Development Services** to clients all over the world. Our team members work with clients like **Couponfollow** , **Dropified App** , **SalesSource** , **AliExtractor, Vanlo Corp** and many more. **We will Offe** r: * Market competitive salary. * A productive environment to work in. * Paid Vacations and relaxing time. * Exposure to work with International clients.