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                    Company
                    Tata Consultancy Services
                 
                
                
                    Category
                    Computer Occupations
                 
                
             
            
            
         
        
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            Job Description
            
                Job Title: Generative AI Developer_Bangalore
Location: Bangalore
Experience: 4 to 10 Years
Job Description:
Primary skill: GenAI
Secondary skill:ML algorithms, Python
Desired Competencies (Technical/Behavioral Competency)
Must-Have
Hands-on knowledge in machine learning, deep learning, TensorFlow, Python, NLP
Stay up to date on the latest AI emergences relevant to the business domain.
Conduct research and development processes for AI strategies.
Experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
Experience with transformer models such as BERT, GPT, RoBERTa, etc, and a solid understanding of their underlying principles is a plus
Good-to-Have
Have knowledge of software development methodologies, such as Agile or Scrum
Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
Have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
Ensure the quality of code and applications through testing, peer review, and code analysis.
Root cause analysis and bugs correction
Familiarity with version control systems, preferably Git.
Experience with building or maintaining cloud-native applications.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is Plus
Role descriptions / Expectations from the Role:
Design, Develop and configure GenAI applications to meet the business requirements.
Optimizing existing generative AI models for improved performance, scalability, and efficiency
Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation
Kind Regards,
Priyankha M
            
         
  
  
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