Job Description

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

Develop and implement machine learning models to solve complex business problems and improve decision-making processes. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Utilize Azure Open AI Service to enhance the capabilities of AI-enabled chatbots and other applications. Conduct exploratory data analysis (EDA) to identify trends patterns and insights from large datasets. Design and maintain data pipelines using Airflow to ensure efficient data processing and integration. Apply knowledge graph techniques to improve data relationships and enhance search engine optimization. Implement ML Ops practices to streamline the deployment and monitoring of machine learning models. Leverage Cloud AutoML and Dialogflow to develop and optimize conversational AI solutions. Utilize OpenCV for computer vision tasks and enhance image processing capabilities. Apply deep learning techniques using TensorFlow and PyTorch to develop advanced AI models. Utilize R Statistical Package and Python for data analysis and statistical modeling. Collaborate with stakeholders to ensure alignment of AI solutions with business objectives and goals. Continuously explore and evaluate new AI technologies to keep the company at the forefront of innovation. 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. Demonstrate proficiency in Azure Open AI Service EDA and Airflow for data processing and analysis. Have experience with knowledge graph and ML Ops for efficient model deployment and management. Show expertise in Cloud AutoML Dialogflow and OpenCV for AI application development. Exhibit strong skills in deep learning frameworks such as TensorFlow and PyTorch. Be proficient in R Statistical Package and Python for data analysis and modeling. Have a solid understanding of search engine optimization and its application in AI solutions.

Certifications Required

Certified Machine Learning Specialist Azure AI Engineer Associate