Digital Marketing Prof Junior

As an AI Specialist/Software engineering professional at a middle to senior level, your role will involve utilizing AI-ML to analyze data and predict process behaviors. It is essential to stay updated on industry trends, emerging technologies, and best practices in data science. Your responsibilities will include providing recommendations for adopting innovative approaches within the product teams and fostering a data-driven culture through knowledge sharing and problem-solving collaboration. Key Responsibilities: - Utilize knowledge of data analysis, Artificial Intelligence (AI), and Machine Learning (ML) to prepare test reports demonstrating test results - Communicate effectively with a collaborative attitude, take responsibility, and make decisions confidently - Present results to customers after handling end-to-end processes - Work with real-world messy data such as time series and sensor data - Apply Machine learning and statistical modeling techniques - Interpret model results within a business context - Perform data preprocessing tasks including feature engineering and outlier handling - Think analytically and connect results to business or process understanding - Communicate complex topics to stakeholders in a clear manner - Define and execute structured problem-solving methods to achieve desired results - Work autonomously by driving small projects or project components Qualifications Required: - Ideally, 4 to 5 years of experience as a Data Scientist / Machine Learning and AI professional at a managerial level - Proficiency in Python and common core libraries like pandas, numpy, scikit-learn, matplotlib, mlfow - Experience with code versioning using GIT and data handling with SQL - Familiarity with data formats such as CSV, JSON, and Parquet, as well as time series data handling - Basic knowledge of Cloud technologies like Azure (preferred), AWS, GCP - Knowledge of MLOps workflow and best practices, containerization, and deployment using Docker, Kubernetes - Strong English proficiency is required Please note that this position is hybrid, requiring both office and work-from-home arrangements, with occasional visits to customer sites for meetings and work-related responsibilities as needed.,