• US Citizen

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• 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 :- 29th Feb 2024

Role Description:• Strong experience in building Machine learning models from scratch or using cloud services like GCP, AWS, Azure etc.• Proficient in popular machine learning and data processing libraries like sci-kit learn, Pandas, NumPy, pySpark • Proficient in analysing data, applying statistical and data mining techniques, trend analysis, and predictive analytics using acquired data• Experience in building solutions for various machine learning problems like regression, classification, product recommendations, customer segmentation etc.• Experience in creating, scheduling, deploying and monitoring machine learning training and prediction pipelines using tools such as Apache Airflow, MLFlow etc.

Competencies:Digital : Machine Learning, Digital : Azure Machine Learning (ML)

Experience (Years):10 & Above

Essential Skills:• Strong experience in building Machine learning models from scratch or using cloud services like GCP, AWS, Azure etc.• Proficient in popular machine learning and data processing libraries like sci-kit learn, Pandas, NumPy, pySpark • Proficient in analysing data, applying statistical and data mining techniques, trend analysis, and predictive analytics using acquired data• Experience in building solutions for various machine learning problems like regression, classification, product recommendations, customer segmentation etc.• Experience in creating, scheduling, deploying and monitoring machine learning training and prediction pipelines using tools such as Apache Airflow, MLFlow etc.

Desirable Skills:• Strong experience in building Machine learning models from scratch or using cloud services like GCP, AWS, Azure etc.• Proficient in popular machine learning and data processing libraries like sci-kit learn, Pandas, NumPy, pySpark • Proficient in analysing data, applying statistical and data mining techniques, trend analysis, and predictive analytics using acquired data• Experience in building solutions for various machine learning problems like regression, classification, product recommendations, customer segmentation etc.• Experience in creating, scheduling, deploying and monitoring machine learning training and prediction pipelines using tools such as Apache Airflow, MLFlow etc.