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Exp:4-12 yrs
JD:
Advanced degree in mathematics, statistics, computer science, or related field.
· Strong knowledge of statistical analysis, machine learning, and deep learning.
· Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs).
· Conducting thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and correlations in the data for NLP/Time series/Vision capability streams.
· Fine-tuning pre-trained models to optimize their performance for specific tasks and domains.
· Strong working knowledge of agent-based and Agentic AI systems leveraging LLMs for reasoning, planning, and task execution.
· Collaborating with cross-functional teams to define project objectives and deliverables and integrating AI models into production environments.
· Applying statistical techniques, machine learning algorithms, and deep learning architectures to solve complex business problems and generate accurate predictions.
· Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions.
·
Job ID: 148996113
Skills:
Tensorflow, Numpy, Nlp, Pytorch, Python, AWS, Sql, Deep Learning, Pandas, Gcp, Time Series, Azure, Training, end-to-end ML models, model evaluation, Classification, Deployment, Validation, data preprocessing, ML algorithms, Cloud platforms, Statistics, Regression, ML model deployment APIs, feature engineering
Skills:
Azure Synapse Analytics, Azure IoT Hub, Azure Stream Analytics, Azure Data Explorer, Application Gateway
Skills:
Machine Learning, Git, Docker, Data Visualization, Spark, Sql, Python, AWS, R, Statistical Modeling, R Shiny
Skills:
Alteryx, Hadoop, Power Bi, Microsoft Sql Server, Kafka, Tableau, Gcp, Presto, MySQL, Spark, Knime, Azure, Python, AWS, R
Skills:
unstructured data , Machine Learning, Python, structured data, data science fundamentals, data pipelines, data-intensive problems, Data Processing, code reviews
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