Should have at least 4-5 years hands-on experience in algorithms, deep learning models and implementation of analytics solutions in predictive analytics.
Demonstrated strong capability in statistical/Mathematical modeling or Machine Learning or Artificial Intelligence with Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python.
Proven experience in leading and managing AI initiatives as a Python Developer, with a strong focus on Flask frameworks.
Develop and implement machine learning models and algorithms for data analysis and prediction
Work with data engineers to identify, collect, and preprocess data for use in machine learning models
Evaluate and optimize the performance of machine learning models using statistical metrics and techniques
Collaborate with cross-functional teams to understand business needs and identify opportunities for applying machine learning to solve problems
Communicate findings and insights from machine learning models to stakeholders in a clear and concise manner
Strong knowledge of machine learning techniques and algorithms, such as regression, classification, clustering, neural networks, etc
Strong problem-solving and analytical skills
Excellent communication and collaboration skills
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI services
Strong Hands-on experience in developing and deploying AI models in real-world applications.
Strong problem-solving abilities and a results-oriented mindset.
Knowledge of the regulatory landscape and compliance considerations related to AI in the Printing, Media and Manufacturing industry is a plus.
Experience with version control systems, such as Git.