Senior AI/ML Developer

Early Applicant

Exp: 6-10 Years

Job Description

Responsibilities:-

Forecasting & Regression Techniques:Expertise in these methods.
Business Challenges to Analytical Solutions:Convert business problems into analytical solutions and present them to management.
Data Mining & Statistical Analysis:Apply techniques like hypothesis testing, anomaly detection, and build prediction systems using AI/ML algorithms.
Predictive Modeling:Enhance customer experiences, revenue, cost reduction, and transportation optimization using predictive models.
Data Science Tools:Proficiency in tools like PYCARET, TensorFlow, Keras, NumPy, Sci-Kit, Flask, Pandas, NLP, and advanced libraries.
Data Visualization:Experience with gg plot, matplotlib, Tableau, and Power BI.
Supply Chain/Manufacturing Domain:Execute projects in forecasting, optimization, anomaly detection, image classification, clustering, and sentiment analysis.
Query Languages:Use SQL, Data Lakes, Data Factory, Kubernetes.
Model Deployment in Azure:Hands-on experience with CI/CD pipeline for model development and deployment.

Experience:

Model Development & Deployment:6-10 years of experience, primarily using Python and Azure/AWS.
Statistical Models & Machine Learning:Expertise in building and deploying statistical models.
Data Management:Skills in data extraction, cleansing, preparation, and optimization.
CI/CD & Docker:Experience with continuous integration/deployment and Docker.

Skills:

Statistical Tools:Proficiency in Python, Azure Cloud, Machine Learning AI, and Auto ML tools, Genetic AI, LLM.
Data Visualization:Knowledge of Tableau and Power BI.
Analytical Projects:End-to-end project implementation on Azure/AWS.
Work Quality:High-quality work with innovative thinking and accountability.
New Tools/Techniques:Awareness of new tools and techniques in the analytical field.

Education/Knowledge:

Additional Notes:

EMEA Business Experience:Prior experience working with Europe Middle East Africa (EMEA) businesses.
Flexible Shifts:Willingness to work flexible hours (12 PM 9 PM).
Team Collaboration & Cloud Tools:Experience in these areas.
Algorithm Deployment:Experience in building and deploying algorithms using Azure/AWS.