ML Engineer

at  Tiger Analytics

Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks/Python, and other technologies offered by Microsoft Azure. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines.

REQUIREMENTS

Must-have skillset:

• Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models
• Programming Skills – Hands-on experience in statistical programming languages like Python, and database query languages like SQL
• Cloud (Azure) – Experience in Databricks and ADF is needed
• Model deployment experience is needed
• Experience with version control systems like GitHub and CI/CD tools. Knowledge of MLOps/ DevOps and deploying ML models is required
• Experience using MLFlow, Kubeflow etc. will be preferred

Good to have skillset:

• Hands on Dashboard and Report development in PowerBI
• Experience with Blob storage
• Experience executing and contributing to ML OPS automation infrastructure is good to have

Please refer the Job description for details