• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 18th Jan 2024

1. Experience in productionalizing Al/ML models, deploying. serving, and maintaining models in Cloud platforms GCP and AWS
2. Experienced with model life cycle management tools such as Kubeflow and mlflow
3. Build end-to-end machine learning models to solve business problems around Marketing, Customer Segmentation, and Propensity Modeling
4. Experienced with the concept of DAG building in airflow and Spark (Pyspark is good Scala is plus)
5. Collaborate with Data Engineers to build ML Pipelines to Train, Test, Deploy. Serve and Monitor models in production
6. Work with data engineering to integrate model features from feature store during training, testing and serving phases of the machine learning lifecycle
7. Partner with Data Science Platform and Business stakeholders to address any Issues related to security, reliability, performance, and data quality issues
8. Write unit test cases, validation checks, technical documentation, and user stories as per requirements
9. Proficient in Python, Tensorflow, Keras, Jupyter Notebooks, GitHub, and SQL
10. Monitor the model performance in production, add the new features, adjust the hyperparameter
Familiar with Big data technologies and handling large datasets