Job Details
Greetings Excellent opportunity for Model operation Engg for product based company Looking for looking for a qualified Model Operations Engineer for our Model Operations' team who will help build best-in-class Machine Learning (ML) infrastructure to enable Company's AI initiatives You will lead and drive the deployment, life cycle management and monitoring of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) models in in all stages leading to production Exp-4-6yrs NP-15Days Mode of Employment- Hybrid JD- Must: 4 to 6 years of relevant experience Bachelor's in computer science or Masters in any relevant engineering field Hands on experience working in Python, and SQL Hands on experience building adhoc dashboards Working knowledge of different ML Algorithms and techniques Knowledge of data analytics concepts, including bigdata, data warehouse technical architectures, ETL and reporting/analytic tools and environments.
Experience with code and/or script solutions to automate processes for ML/DL model deployments, retraining, testing and monitoring Experience in deploying enterprise-scale machine learning solutions Ability to work with cross-functional and remote teams Good to have: Experience in one or more MLOps tools such as Kubeflow, MLFlow, Pachyderm, DVC etc Experience setting up and tuning databases for production usage for ML/DL-based applications Experience in AWS, Azure, Virtualization, Terraform, Docker, Kubernetes.
Experience in opensource or AWS/Azure monitoring tools, GIT, Node deployment tools and continuous integration tools Experience in Deployment (CI/CD) tools: eg, Chef, Jenkins, Maven, Craddle, Puppet, Ansible, Quay Kindly share your resume if interested