Generative Ai And Natural Language Processing (nlp)

Year    KA, IN, India

Job Description

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We are looking for fresh candidates with a strong passion for Generative AI and Natural Language Processing NLP to join our team In this role you will have the opportunity to learn and contribute to the development of cutting edge AI solutions working with state of the art technologies such as transformers text generation and sentiment analysis You will gain hands on experience in building and fine tuning Generative AI models particularly focusing on NLP tasks This is a fantastic opportunity to grow alongside a team of experts tackle real world challenges and advance the field of AI We seek individuals with curiosity a strong learning mindset and a desire to make a meaningful impact through technology


Key Responsibilities:


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Natural Language Processing NLP a Assist in the design and development of NLP systems for tasks such as text classification sentiment analysis named entity recognition NER and machine translation b Contribute to the development of language models for text summarization question answering and dialog systems c Work with large unstructured text datasets and apply techniques such as text preprocessing tokenization and embedding generation Collaborate with team members to develop AI driven solutions that involve transformer based models text generation and other cutting edge NLP techniques Learning Growth Continuously improve knowledge of emerging AI and NLP trends techniques and technologies Participate in learning programs and research to deepen expertise in transformer models LLMs RAG and other relevant techniques Documentation Maintain clear and organized documentation of models experiments code and results to ensure reproducibility and efficient knowledge sharing within the team


Technical Requirements:


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Must Have Skills Basic understanding of Natural Language Processing NLP techniques such as text classification tokenization sentiment analysis and named entity recognition NER Familiarity with Generative AI concepts including Generative Adversarial Networks GANs transformers and autoencoders Strong programming skills in Python with experience using libraries like NumPy Pandas TensorFlow PyTorch and Hugging Face for model building and data manipulation Knowledge of machine learning algorithms and basic model evaluation techniques Familiarity with cloud platforms e g AWS Azure Google Cloud or basic cloud concepts for model training and deployment Willingness to learn and work with GPU TPU computing for efficient model training and inference


Additional Responsibilities:


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Nice to Have Skills Familiarity with Agentic AI concepts or exposure to intelligent agent based systems Exposure to working with open source LLMs e g Hugging Face and transformer based models Understanding of Docker for containerizing applications and models Exposure to AutoML frameworks or transfer learning techniques Familiarity with version control systems like Git Understanding of basic MLOps concepts for deploying machine learning models in production Interest in AI deployment tools such as Flask FastAPI Django etc for serving models in real world applications Soft Skills Strong verbal and written communication skills with the ability to work well in a team Strong customer focus ownership urgency and drive Ability to handle multiple competing priorities in a fast paced environment Work well with the team members to maintain high credibility Educational Requirements any of the following Bachelor s degree in computer science Engineering Mathematics Physics or a related field required Master s degree or PhD in Computer Science Artificial Intelligence Machine Learning or a related field preferred for senior roles Location India


Preferred Skills:


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Technology->Machine Learning->NLP-Text Analytics

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Job Detail

  • Job Id
    JD4257655
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    KA, IN, India
  • Education
    Not mentioned
  • Experience
    Year