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Manager Human Resources at Axis Bank
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Axis Bank - Head - Artificial Intelligence - Center of Excellence (11-15 yrs)
Department: Business Intelligence Unit Sub-Department: Artificial Intelligence CoE
On-site/ Off-site: On-site (Bangalore/Mumbai)
Key Deliverables :
- Drive significant business value to the bank by innovating and delivering on key AI capabilities in text, vision and speech along with engineering and technology teams
- Build, manage and deliver key AI products for the bank
- Execute on key data and decision engineering legs to scale AI from team level PoCs to enterprise level scale
- Bringing in industry best practices and advanced AI/ML techniques to the organization
- Partner with Intelligent Automation team to re-invent bank operations and processes
- Build more advanced AI capabilities in the field of Financial Crime in partnership with internal teams
- Research and innovate on new techniques and capabilities on both structured and unstructured data
- Strong governance focus by cataloguing and reviewing AI models on regular cadence
- Review projects on a regular basis with key senior stakeholders - follow agile methodology
- Manage and mentor a specialist team of 15+ data scientists
Experience and Profile :
- Minimum 11 years of prior experience in various fields of data science, data architecture and engineering for data models
- Experience with common data science toolkits such as R, NumPy, MatLab, Pandas, Scikit-learn, TensorFlow, Keras etc.Experience with data visualisation tools such as D3.js, GGplot.Proficiency in using query languages such as SQL.Experience with NoSQL databases such as MongoDB, Cassandra, HBase is desired.
- Experience with distributed data/computing tools like Hadoop, Hive, Spark is a big plus
- Acted as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics
- Guided data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies
- Team management and mentorship experience is necessary
Proficiencies:
For successful execution of the project, a candidate should possess the following:
- Knowledge /Technical Capability
- Should be good in probability theory and Algebra
- Deep understanding of machine learning algorithms
- Proficiency in Python and math & machine learning libraries in Python
- Sound understanding of Neural Networks and hands-on experience with the tensor flow / pytorch to implement deep learning models
- Organizational skills
- Excellent time management
- Must be able to communicate effectively with technical and non-technical audiences
- Develop and maintain effective working relationships across levels
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.
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