Hexaware_ Chennai Walkin Drive_Data Scientist NLP/BERT/GENAI 21st Dec

Hexaware has planned Walkin Drive in Chennai for Senior Data Scientist positions on 23rd Nov 2024 (Saturday)

We are urgently looking for Immediate joiners who have worked on BERT/GENAI/LLM Models/Transformer.

If interested, please share your updated profile on devendras@hexaware.com

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Desired skillsets:

5+ years of experience in the field of data science/ML production grade with exposure to ML algorithms like regression and tree-based models (At least 5 ML model built and at least 2 ML models deployed)

Good experience in prototyping with Generative AI models, with a strong understanding of deep learning techniques such as GPT/BERT (Q&A/Entity Extraction/Text Similarity/Text Summarization Models)

• In-depth understanding of BERT embeddings and Word2Vec/Glove embeddings
• Demonstrable solutions in the form of POCs, any cloud marketplace postings built using Generative AI with up to date on the latest trends in the Generative AI theme
• Experimentation with Gen AI APIs (application programming interfaces) like Azure Open AI/Vertex AI PaLM API (application programming interfaces). Good to have exposure in fine-tuning these API foundation models; is aware of the costing behind them (Ada/Babbage/Davinci/Text Bison Foundation Models) and aware of the governance/compliance behind using Generative AI models for the Business.
• Proficient in programming languages such as Python/R and Pyspark/Scala/Spark
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras, with a strong understanding of neural networks, architectures, and optimization techniques
• Working knowledge in Deep Learning algorithms with different NN architectures like CNN (Convolution Neural Network), RNN, LSTM etc. with at least 1 model implementation
• At least 2 years of domain experience and client facing experience Secondary skills
• Familiarity with cloud platforms such as AWS, Azure, or GCP, and experience in leveraging distributed computing for large-scale model training and deployment
• Knowledge of software development methodologies, such as Agile or Scrum
• Excellent communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders
• Knowledge in SQL and AutoML