About EYAs a global leader in assurance, tax, transaction and advisory services, we re using the finance products, expertise and systems we ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we ll make our ambition to be the best employer by 2020 a reality.Machine Learning Engineer IT AdvisoryThe opportunityEY is looking for an expert software developer with experience of architecting high performance software applications who is passionate about artificial intelligence and up-to-date with the latest developments in the field.
Your key responsibilitiesUnderstanding business objectives and developing application architecture to achieve service agreement such as:
o Maximum response time
o Availability
o Quality/Confidence of prediction
o Max re-train time, etc
Should be well aware and experienced in architecture of Machine Learning (ML) applications such as:
o Recommendation system
o NLP based application
o Regression applications
Should have worked on building web/mobile/desktop applications
Managing available resources such as hardware, data, and personnel so that deadlines are met
Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper-parameters
Analysing the errors of the model and designing strategies to overcome them
Training other team membersSkills and attributes for successProficiency with web-frameworks for deployment of ML solutions as On-demand web-service accessible via REST api.
Proficiency with a deep learning framework such as TensorFlow or Keras
Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
Expertise in visualizing and manipulating big datasets
Proficiency with OpenCV
Ability to select hardware to run an ML model with the required latency
Understanding of complete application architecture
Experience of working with Relational and non-relational databasesTo qualify for the role you must haveB.Tech. preferably in Computer Science
5-10 years of overall work experience
2-5 years of relevant experience
Application architecture
Experience of building and deploying ML solutionsIdeally you ll also havePositive attitude. Go getter mindset
Excellent interpersonal skills and hands on approach towards his/her work
Inspirational leader. Ability to motivate team by leading from front.
Eager to learn new skills Problem Solving aptitudeWhat we look forPeople with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions.What working at EY offersEY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. ,
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