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AI/ML-Senior
Ernst & Young
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines.
- Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development
- Lead the design and development of bespoke machine learning algorithms to achieve business objectives.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques.
- Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems.
- Ensure adherence to ethical AI guidelines and data governance policies.
- Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform.
- Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the banks operations and services.
- Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry.
- Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results.
- Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered.
- Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives.
- Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions.
To qualify for the role you must have
- 4+ years of working experience in Large Scale AI/ML models and data science.
- Deep understanding of statistics, AI/ML algorithms, and predictive modeling.
- Proficiency in AI/ML programming languages like Python, R, SQL.
- Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras.
- Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms).
- Implement monitoring and logging tools to ensure AI model performance and reliability.
- Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc.
- Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
- Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc
- Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops Share Point.
- Strong understanding of Large Enterprise Applications like SAP, Oracle ERP Microsoft Dynamics etc.
Ideally, youll also have
- Bachelors Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines.
- Relevant certifications are considered a plus
- Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team.
Employment Type: Full Time, Permanent
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What people at Ernst & Young are saying
Senio salary at Ernst & Young
reported by
4
employees
with 4-10
years exp.
₹11
L/yr - ₹20
L/yr
41%
more
than the average Senio Salary in India
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What Ernst & Young employees are saying about work life
based on 10.4k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Ernst & Young Benefits
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Ernst & Young Bangalore / Bengaluru Office Locations
Bangalore Office
Ernst & Young, 3rd Floor, Tower C, RMZ Infinity Municipal No. 3, Survey No 1477/2 & 10, Old Madras Road, Benniganahalli, K.R. Puram
Bangalore
Karnataka 560016
Karnataka 560016
Bengaluru Office
Ernst & Young
Tower C, 3rd Floor, RMZ Infinity
Municipal No. 3, Old Madras Road
Survey No 1477/2 & 10
Benniganahalli, K.R. Puram
560016 Bengaluru
Ernst & Young
UB City, Canberra Block
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No. 24, Vittal Mallya Road
Bengaluru
Bengaluru
560001
560001
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