Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform in GCP using Python and other tools for the data scientists across the company.
Help innovate standardize machine learning development practices.
Experiment, innovate and share knowledge with the team.
Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.
Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments
Use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy
Train and re-train ML models and systems as required
Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios
Automate model deployment, training and re-training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps
Enable model management for model versioning and traceability
Minimum Qualifications
A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline.
2+ years of experience with Python and Cloud Engineering / Services such as GCP Vertex AI and related services
Experience with ML workflow orchestration tools: e.g, Airflow, Kubeflow etc.
Experience in DevSecOps using tools such as Jenkins/Tekton, Checkmarx etc.
Experience in container management solution: e.g., Kubernetes, Docker, GKE
Experience in scripting language: e.g., Bash, PowerShell etc.
Desired Skills
Masters in Computer Science / Machine Learning or related field
Experience with Terraform
Experience in software craftsmanship practices such as Paired Programming, Test Driven Development
Understanding of MLOPs/Machine Learning Life Cycle and common machine learning frameworks: Sklearn, Tensorflow, Pytorch etc. is a big plus
Experience applying Agile practices to solution delivery.
