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. 

Title: AI ML Developer                  
Overall Years of Experience: 5 to 7 years    
Relevant Years of Experience: 5+Years

Technical Lead:

• The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning

Position Summary    
•    5+yrs of experience in a similar profile with strong service delivery background
•    Lead and guide a team of Junior Developers.
•    Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same.
•    Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings.  
•    Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction,              probabilistic graphical models and machine learning.
•    Plan and implement version control of source control 
•    Define and implement best practises for software development
•    Excellent computer skills - proficient in excel, PowerPoint, word and outlook
•    Excellent interpersonal skills and a collaborative management style
•    Own and delegate responsibilities effectively
•    Ability to analyse and suggest solutions
•    Strong command on verbal and written English language 

Roles and Responsibilities
Essential  

•    Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production.
•    Solid understanding and experience of deep learning architectures and algorithms
•    Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc.
•    Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch
•    Work with business analysts/consultants and other necessary teams to create a strong solution
•    Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in Java/C are a plus
•    Should have expertise in creating solution design documentation 
•    Should be able to train and build a team of technical developers
•    Desired to have knowledge on any of the cloud solutions such as Azure or AWS
•    Desired to have knowledge on any of container technology such as Docker
•    Enhancing data collection procedures to include information that is relevant for building analytic systems
•    Processing, cleansing, and verifying the integrity of data used for analysis
•    Doing ad-hoc analysis and presenting results in a clear manner
•    Demonstrates advanced understanding of the principles, methods, processes and standards of computational thinking and programming 
•    Demonstrates advanced knowledge of tools used in the design and build of computational thinking and programming solutions 
•    Recommends improvements to principles, methods, processes and standards 
•    Provides structure to complex and multi-faceted deliverables and solves complex problems 
•    Supports the creation of knowledge sharing programs for deep learning and guides junior team members 
•    Demonstrates an advanced understanding of the principles, methods, processes and standards of image processing and analysis
•    Recommends improvements to principles, methods, processes and standards
•    Demonstrates an advanced understanding of the principles, methods, processes and standards of machine learning
•    Recommends improvements to principles, methods, processes and standards
•    Should be able to work with a multi culture global teams and team virtually

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.