Gen AI

•Design, develop, and deploy generative AI models and solutions for data and analytics applications.
•Fine-tune AI models to improve performance and accuracy based on specific business requirements.
•Collaborate with data scientists and analysts to understand business requirements and translate them into technical specifications.
•Implement and optimize AI models using Azure Machine Learning and other Azure cloud services.
•Develop and maintain ETL processes to ensure efficient data ingestion, transformation, and integration.
•Analyze large datasets to extract meaningful insights and support data-driven decision-making.
•Ensure the scalability, performance, and reliability of AI models and solutions.
•Stay updated with the latest advancements in generative AI and integrate relevant technologies and methodologies.
•Create and maintain comprehensive documentation for AI models, processes, and solutions.
•Work closely with cross-functional teams to drive AI initiatives and projects.
•Implement and maintain security protocols to ensure data privacy and compliance with organizational standards.
•Extensive experience with generative AI technologies and frameworks (e.g., GPT, GANs, VAEs).
•Proficiency with Azure cloud services, including Azure Machine Learning, Azure Data Factory, and Azure Databricks.
•Strong analytical and problem-solving skills, with the ability to work with large datasets.
•Familiarity with data visualization tools and techniques.
•Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders.
•Experience with other cloud platforms and AI tools is a plus.
•Experience with natural language processing (NLP) and computer vision.
•Knowledge of Agile development methodologies.
•Familiarity with DevOps practices and tools for continuous integration and deployment (CI/CD).
•Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
•Develop, validate, and deploy predictive models and machine learning algorithms.
•Write efficient SQL queries to extract, manipulate, and analyze data from various databases.
•Collaborate with business stakeholders to understand their requirements and translate them into analytical solutions.
•Present findings and insights to stakeholders through clearand compelling data visualizations and reports.
•Continuously explore and experiment with new data sources, tools, and techniques to improve analytical capabilities.
•Think creatively to develop innovative solutions for complex business problems.
•Work closely with data engineers to ensure data quality, integrity, and availability.
•Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
•Stay updated with the latest advancements in data science, machine learning, and analytics.
•Strong proficiency in SQL for data extraction, manipulation, and analysis.
•Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
•Proficiency in programming languages such as Python or R.
•Strong analytical and problem-solving skills, with the ability to think creatively and "out of the box."
•Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
•Excellent communication and interpersonal skills, with the ability to present complex findings in a clear and concise manner.
•Ability to work effectively both independently and as part of a team.

Salary Range: - $100,000 to $140,000 a year