$120K - 180K a year
Develop and deploy machine learning models using Azure Open AI and Cloud AutoML, conduct data analysis, and collaborate on AI-driven business solutions.
Proficiency in Python, R, ML algorithms, Azure Open AI, ML Ops, NLP, and experience with computer vision and data visualization.
About the position Responsibilities • Develop and implement machine learning models to solve complex business problems and enhance decision-making processes. • Utilize Azure Open AI Service and Cloud AutoML to streamline model deployment and management. • Conduct exploratory data analysis (EDA) to uncover insights and patterns in large datasets. • Leverage Airflow for efficient data pipeline orchestration and automation. • Apply knowledge graph techniques to improve data connectivity and retrieval. • Implement ML Ops practices to ensure robust and scalable machine learning operations. • Utilize OpenCV for computer vision tasks and enhance image processing capabilities. • Integrate natural language processing (NLP) and deep learning techniques to improve text analysis and understanding. • Employ PyTorch and TensorFlow for developing and optimizing deep learning models. • Use R Statistical Package and Python for data manipulation, analysis, and visualization. • Enhance search engine optimization (SEO) strategies using data-driven insights. • Collaborate with cross-functional teams to align data science initiatives with business objectives. • Stay updated with the latest advancements in AI and machine learning to continuously improve solutions. Requirements • Demonstrate proficiency in statistics and machine learning algorithms. • Exhibit expertise in Azure Open AI Service and cloud-based machine learning platforms. • Show experience in exploratory data analysis and data visualization techniques. • Possess strong skills in Python and R for data analysis and model development. • Have a solid understanding of ML Ops and model deployment best practices. • Experience in natural language processing and deep learning frameworks is essential. • Familiarity with computer vision and image processing using OpenCV is beneficial. • Knowledge of search engine optimization techniques is advantageous. • Experience in the Listing & Finding Services domain is a plus. Benefits • Medical/Dental/Vision/Life Insurance • Paid holidays plus Paid Time Off • 401(k) plan and contributions • Long-term/Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan
This job posting was last updated on 9/23/2025