Data Science (Generative AI) - Senior Manager
- PwC Service Delivery
- 12 - 20 years
- Hyderabad
- 1 month ago
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Job Description
- A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics
- We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology
- We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge
- As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes
- you'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights
Years of Experience: Candidates with 12+ years of hands on experience
Must have : Experience in developing machine learning and deep Learning models in local and cloud environments (At least 1 of the 3: Azure ML, GCPs Vertex AI platform, AWS SageMaker)
Must Have below skills:
- Solid knowledge and experience of supervised, unsupervised and reinforcement learning machine learning algorithms. For eg: classifiers, cluster analysis, dimension reduction, regression, and models CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc
- Experience with the current state of AI/ML, Large Language Models, and Generative AI
- Fine-tune language models to specific domains using LLM to improve the accuracy and effectiveness of text-based applications
- Build generative AI models that can generate original content, such as text, images, or music
- Experience with model explainability and interpretability techniques
- Experience in machine learning frameworks and tools ( For eg: scikit-learn, mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK, MLlib)
- Advanced level programming in SQL and Python/Pyspark to guide teams
- Lead and manage a team of data scientists and engineers working on generative AI projects
- Identify and evaluate new AI technologies and tools that could be leveraged for generative AI projects. Understand the nuances between traditional Machine Learning lifecycle and Generative AI modeling lifecycle
- Develop and implement ethical guidelines and standards for AI development and deployment
- Stay up to date with the latest research and trends in the field of generative AI and apply them to the companys projects and goals
- Communicate effectively with stakeholders at all levels of the organization to explain the benefits and risks of generative AI solutions
Nice to have:
- Strong hands-on skills for data pipeline orchestration (For eg: Airflow)
- Expertise with visualization tools For eg: Tableau, PowerBI, AWS QuickSight etc
- Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into the Product
- Ability to think through complex user scenarios and design simple yet effective user interactions
- Good Communication and presentation skills
Job Classification
Industry: Accounting / AuditingFunctional Area: Accounting / Auditing
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time
Contact Details:
Company: PwC Service DeliveryLocation(s): Hyderabad
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Keyskills: Data management GCP Machine learning Data analytics Management Business intelligence AWS SQL Python
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₹ -52 Lacs P.A
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