Job Summary
Join our dynamic team as a Data Scientist where you will leverage your expertise in machine learning and artificial intelligence to drive innovative solutions. You will work closely with cross-functional teams to analyze complex data sets and develop predictive models. Your contributions will directly impact our companys growth and enhance our ability to deliver cutting-edge technology solutions to our clients.
Responsibilities
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Develop and implement machine learning models to solve complex business problems and improve decision-making processes.
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Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
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Utilize Azure Open AI Service to enhance the capabilities of AI-enabled chatbots and other applications.
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Conduct exploratory data analysis (EDA) to identify trends patterns and insights from large datasets.
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Design and maintain data pipelines using Airflow to ensure efficient data processing and integration.
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Apply knowledge graph techniques to improve data relationships and enhance search engine optimization.
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Implement ML Ops practices to streamline the deployment and monitoring of machine learning models.
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Leverage Cloud AutoML and Dialogflow to develop and optimize conversational AI solutions.
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Utilize OpenCV for computer vision tasks and enhance image processing capabilities.
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Apply deep learning techniques using TensorFlow and PyTorch to develop advanced AI models.
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Utilize R Statistical Package and Python for data analysis and statistical modeling.
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Collaborate with stakeholders to ensure alignment of AI solutions with business objectives and goals.
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Continuously explore and evaluate new AI technologies to keep the company at the forefront of innovation.
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Provide technical guidance and mentorship to junior data scientists and team members.
Qualifications
- Possess a strong background in statistics and machine learning with hands-on experience in AI technologies.
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Demonstrate proficiency in Azure Open AI Service EDA and Airflow for data processing and analysis.
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Have experience with knowledge graph and ML Ops for efficient model deployment and management.
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Show expertise in Cloud AutoML Dialogflow and OpenCV for AI application development.
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Exhibit strong skills in deep learning frameworks such as TensorFlow and PyTorch.
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Be proficient in R Statistical Package and Python for data analysis and modeling.
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Have a solid understanding of search engine optimization and its application in AI solutions.
Certifications Required
Certified Machine Learning Specialist Azure AI Engineer Associate