Data Scientist

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Our client is looking Data Scientist / AWS Engineer For a Contract Position role Eagan, MN b elow is the detailed requirements.

Kindly share your Updated Resume to proceed further.

Position : Data Scientist / AWS Engineer

Location : Eagan, MN (Hybrid)

Job Mode : Contract

Job Description :

We are seeking an experienced Data Scientist with 12+ years of experience to join our dynamic team.

The ideal candidate will have a strong background in Statistics, Machine Learning, and Artificial Intelligence, with expertise in tools such as Azure Open AI Service, PyTorch, and TensorFlow.

This role involves working in a hybrid model with a focus on developing innovative solutions that drive business success and societal impact. Experience : 6 - 8 years 4. Required Skills : T

Technical Skills :

Data Science, SQL Developer, AWS Machine Learning

Responsibilities :

• Lead the development and implementation of machine learning models to solve complex business problems and enhance decision-making processes.
• Oversee the application of statistical techniques and exploratory data analysis to extract meaningful insights from large datasets.
• Provide expertise in Azure Open AI Service and Cloud AutoML to optimize and automate data-driven processes.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows .
• Utilize Airflow for orchestrating complex data workflows and ensuring seamless data pipeline operations. Develop and maintain knowledge graphs to improve data accessibility and enhance search engine optimization. Implement MLOps practices to streamline the deployment and monitoring of machine learning models in production.
• Apply deep learning techniques using PyTorch and TensorFlow to advance the company's AI capabilities.
• Conduct natural language processing and dialogflow projects to enhance customer interactions and service delivery.
• Use OpenCV for computer vision tasks that contribute to innovative product development.
• Engage in continuous learning and application of the latest advancements in artificial intelligence and machine learning. Ensure the ethical use of AI technologies and contribute to the companys commitment to responsible AI practices. Drive the adoption of AI and machine learning across the organization to foster a culture of innovation.
• Collaborate with stakeholders to identify opportunities for AI-driven improvements and efficiencies.

Qualifications