CRL 2.0_ET_AI-ML_Manager Job Vacancy in EY Bengaluru, Karnataka – Updated today

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Full Details :
Company Name :
EY
Location : Bengaluru, Karnataka
Position :

Job Description : 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 – Cloud ML Engineer – Manager
Location: Bangalore – Global Delivery Services
Job purpose:
Individual should have significant experience in the Machine Learning technologies. He/she needs to have strong communication skills and the ability to work with our clients and teams across globe. Must possess excellent data management skills An experience in working on Azure/AWS and dev ops tools would be an added advantage.
Your Technical responsibilities: (part of description)
To study and convert data science prototypes.
To design and develop Machine Learning systems and schemes.
To perform statistical analysis and fine-tune models using test results.
To find available datasets online for training purposes.
To train and re-train ML systems and models as and when necessary.
To extend and enrich existing ML frameworks and libraries.
To develop Machine Learning apps according to customer/client requirements.
To research, experiment with, and implement suitable ML algorithms and tools.
To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by their success probability.
To explore and visualize data for better understanding and identify differences in data distribution that could impact model performance when deploying it in real-world scenarios
Requirements (Qualifications)
We are looking for the candidates with the following:
BE/BTech/MCA with a sound industry experience of 10+ years
Mandatory skills:
Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)
Robust data modelling and data architecture skills.
Programming experience in Python, R.
Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc.
Experience in working with ML frameworks like TensorFlow and Keras.
Experience in working with various ML libraries and packages like Scikit learn, Theano, Tensorflow, Matplotlib, Caffe, etc.
Strong written and verbal communications
Excellent interpersonal and collaboration skills.
Experience of working in any of the Cloud Platforms (Azure, AWS, GCP)
Experience of working on Cloud ML Services like Google Cloud AutoML, MLflow, Microsoft Azure ML Studio, AWS Sagemaker is a plus
Preferred skills:
Experience of working with NoSQl databases like Cassandra
Experience of working with RDBMS databases like Postgres
Experience in designing and developing Restful styled web services
Experience in agile development methodologies like SCRUM
Exposure to Business BFSI Industry
Exposure to CI/CD Pipeline
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.

This post is listed Under  Technology
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