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Data Scientist- GenAI

5.00 to 8.00 Years   Bengaluru/ Bangalore (Karnataka)   22 Apr, 2025
Job LocationBengaluru/ Bangalore (Karnataka)
EducationML/ LLM (Law)Any Graduate
SalaryAs per Industry Standards
IndustrySoftware Services, Internet/Dot com/ISP
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

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.Mandatory Skills

  • AI/ML, DL, NLP, Lang chain, Mistral, Llama, Vector DB, Azure/GCP/Lambda, Python, Tensorflow, Pytorch
Preferred Skills
  • GPT-4, NumPy, Pandas, Keras, Neural Networks, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox
/ Roles & Responsibilities (in Detail)
  • 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.
  • Stay current with industry trends and advancements in generative AI technology to drive innovation.
  • 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.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.Locations
  • Bengaluru

Keyskills :
ai/ml development deep learning frameworks natural language processing data preprocessing techniques generative ai models algorithms python machine learning project delivery

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