Required Skills:

• Python Programming: Strong proficiency in Python.
• Statistics and Operations Research: Practical knowledge and working experience.
• AI/ML Tools and Frameworks: Experience with Flask, PySpark, PyTorch, TensorFlow, Keras, Databricks, OpenCV, Pillow/PIL, Streamlit, d3js, DashPlotly, and Neo4j.
• AWS Services: Hands-on experience with AWS AI/ML services like Sagemaker, Canvas, and Bedrock.
• Machine Learning Techniques: Understanding of predictive and ML techniques like regression models, XGBoost, random forest, GBM, neural networks, SVM, etc.
• NLP Techniques: Proficient with RNN, LSTM, and attention-based models; experience with models from Stanford, IBM, Azure, OpenAI.
• SQL: Good understanding of SQL for efficient data querying.
• Version Control: Hands-on experience with version control tools like GitHub or Bitbucket.
• MLOps: Experience deploying ML models into production on platforms like Azure and AWS.
• Business Analysis: Ability to understand business needs and map them to business processes.
• Agile Methodology: Experience with agile project delivery.
• Visualization: Good at conceptualizing and visualizing end-to-end business needs both at a high level and in detail.
• Communication: Good communication, listening, and probing skills.
• Analytical Skills: Strong analytical and problem-solving skills.
• Interpersonal Skills: Strong interpersonal skills, collaboration with team members, and ability to work effectively in a team.