Senior Associate_AI/ML

Job Description

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Responsibilities Build, Train, and Deploy ML Models using Python on Azure/AWS 1+ years of Experience in building Machine Learning and Deep Learning models in Python Experience on working on AzureML/AWS Sagemaker Ability to deploy ML models with REST based APIs Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.) Ability to work directly with customers with good communication skills. Ability to analyze datasets using SQL, Pandas Experience of working on Azure Data Factory, PowerBI Experience on PySpark, Airflow etc. Experience of working on Docker/Kubernetes Mandatory skill sets Data Science, Machine Learning Preferred skill sets Data Science, Machine Learning Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Data Science Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Travel Requirements Government Clearance Required?