Comprehend business issues: Propose valuable business solutions using statistical and AI/ML models.
Model Design: Design statistical models and machine learning/deep learning models to address complex business challenges.
Model Deployment: Develop and deploy ML/DL models into production environments.
Data Insights: Formulate available data sources, augment them, and extract valuable insights using SQL and efficient query writing techniques.
Data Visualization: Create innovative data visualizations and graphs using tools like d3js, dashplotly, and neo4j.
Integration: Ensure seamless integration of AI/ML models into business processes using cloud platforms like AWS or Azure.
Cross-Functional Collaboration: Work closely with cross-functional teams, translating business needs into actionable AI solutions.
Agile Participation: Participate in agile project delivery, ensuring the timely execution of deliverables.

Python Programming: Proficient in Python programming.
Statistical Knowledge: Practical knowledge of Statistics and Operations Research methods.
Frameworks and Tools: Hands-on experience with frameworks and tools such as Flask, PySpark, PyTorch, TensorFlow, Keras, Databricks, OpenCV, Pillow/PIL, Streamlit, and neo4j.
Analytics/AI-ML Services: Expertise in Analytics/AI-ML AWS services, including SageMaker, Canvas, Bedrock.
Predictive Modeling: Strong understanding of predictive modeling techniques like regression models, XGBoost, random forests, GBM, Neural Nets, SVM, etc.
NLP Techniques: Proficient in NLP techniques like RNN, LSTM, and Attention-based models, with knowledge of Stanford NLP, IBM, Azure, and OpenAI NLP models.
MLOps: Experience in MLOps: deploying models into production on AWS or Azure cloud platforms.
Version Control: Working knowledge of version control tools such as GitHub and Bitbucket.

Analytical Abilities: Strong analytical and problem-solving abilities.
Communication Skills: Excellent communication, listening, and probing skills.
Interpersonal Skills: Strong interpersonal skills, with the ability to collaborate and work effectively within a team.

Data Science / ML Engineer