Senior Data Scientist

Minimum 4 years of experience with developing MI Modules on AWS, Azure cloud and opensource OLLAMA models etc. Solid understanding of common programming languages debugging skills used in AI, such as Python, Java, C++, and R Minimum 2 years of experience in Working ML Frameworks like PyTorch, Tensorflow Familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. Python programming minimum 3 years Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs. Experience working with transformer models in NLP and model setting. Familiarity with ML ops tooling/platforms(i.e.) Weights and Biases, Anyscale, Sagemaker, etc Fine tuning of LLMs Knowledge of relevant metrics for RAG applications Ability to analyze operational incidents (customer interaction, log file analysis) Experience with deep learning, machine learning, data manipulation, training of LLM models Good coding skills in Spark/Pyspark, Python and SQL Good Knowledge of AWS tools, Glue, Redshift , Athena and S3 Good knowledge of CI/CD (Github / Github Actions, Terraform) JIRA

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