Mumbai, Maharashtra, India
Information Technology
Full-Time
hackajob
Overview
hackajob is collaborating with Wipro to connect them with exceptional tech professionals for this role.
Title: Data Scientist - L3
Requisition ID: 50924
City: Bengaluru
Country/Region: IN
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
Role : Data Scientist
Do
Title: Data Scientist - L3
Requisition ID: 50924
City: Bengaluru
Country/Region: IN
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
Role : Data Scientist
- Strong understanding of machine learning and deep learning principles and algorithms.
- Experience in developing and implementing generative AI models and algorithms.
- Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
- Ability to work with large datasets and knowledge of data preprocessing techniques.
- Familiarity with natural language processing (NLP) and computer vision for generative AI applications.
- Experience in building and deploying generative AI systems in real-world applications.
- Utilize advanced machine learning techniques to develop and train generative AI models.
- Decode the Requirements to functional modules and product features
- Pipeline building integration and testing following the SDLC process
- Collaborate with cross-functional teams to groom and preprocess large datasets for model training.
- Research and implement cutting-edge algorithms and architectures for generative AI applications.
- Optimize model performance and scalability for real-time inference and deployment.
- Experiment with different hyperparameters and model configurations to improve generative AI model quality.
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation,
- Choose suitable DL algorithms, software, hardware and suggest integration methods.
- Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards
- To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery
- Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services.
- Strong problem-solving and critical thinking skills for complex AI problems.
- Excellent communication and teamwork abilities to collaborate with cross-functional teams.
Do
- Demand generation through support in Solution development
- Support Go-To-Market strategy
- Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales
- Collaborate with different colleges and institutes for research initiatives and provide data science courses
- Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions
- Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions
- Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options
- Team Management
- Talent Management
- Support on boarding and training to enhance capability & effectiveness
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