Data And – Senior

Job details

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Job description

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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position title – AI/ ML Engineer Location: Bangalore – Global Delivery Services Job purpose: AI/ML Engineer in the IT Advisory Services team to be part of the delivery of Data Science /Digital based projects for our customers across the globe. Technical Responsibilities: Overall 5 to 8+ years of experience and 3+ years of experience leading and mentoring technical team members on data, ML models, Performance and Accuracy Experience in working with Business users, understand the problem statement, build hypothesis, build models, share results with business users, work with legal and compliance teams Proficiency with core Machine Learning methodologies: Feature Engineering, Regression, Classification, Clustering, Matrix Factorization, Predictive Analytics, Natural Language processing, Decision trees, Support Vector Machines, Neural Networks/ Deep Learning Strong programming skills in design and implementation using Python, Scala and Java Hands-on skills in using and implementing models in one or frameworks: MXNet, TensorFlow, Scikit-learn Experience in end to end Model development and management: Model design, model building, model training, mode monitoring, continuous model training, model implementation (Cold and warm start) 5+ years of experience with the fundamentals and practical application of Machine Learning, NLP and DL in Banking and Financial services domain Exposure in using one or more of the following Machine Learning and Cognitive technologies: Azure ML Studio , ML Services, ML Ops, MLFlow, KubeFlow 3+ years of experience with data retrieval manipulation, Storing and processing using Spark SQL, SparkML, Spark ML Pipeline, Spark API, Spark Datasets, RDD, Hive QL, Python, Hadoop Ability to work effectively in a cross-functional team and Good communication skills Requirements (Qualifications) We are looking for the candidates with the following: BE/BTech/MCA with a sound industry experience of 5 to 8+ years Mandatory skills: Python, Pyspark, Java ML Algorithms, NLP TensorFlow, Sckikit- Learn, MXNet Spark ML , Spark Streaming APIs Azure ML Studio , ML Services, MLFlow, KubeFlow Azure Kubernetes Service, Azure Data Lake Storage, Azure MLOPS Preferred skills: Data Warehousing, ETL, Hive, Flink Experience working on CMMI / Agile / SAFE methodologies EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.