Job Description:Technical Skills – Must Have:
Machine Learning And Analytics:
End-to-end machine learning development lifecycle, including data preparation, data visualization, statistical analysis, feature engineering, predictive modeling, model deployment, and model monitoring. Strong experience with CI/CD, MLOps, and Generative AI solutions. Expertise in causal inference, time series analysis, forecasting, anomaly detection, hypothesis testing, and A/B testing. Experience with Git Actions, Tableau, Power BI, ThoughtSpot, and web scraping techniques. Data And Engineering: Strong hands-on experience with SQL, MySQL, Postgres, Spark, S3, Trino, Data Factory, ETL processes, and data pipelines. Experience with Databricks and distributed computing frameworks. Programming Languages: Proficiency in SQL, PySpark, Scala, R, Python, and SAS. Gen AI And Agent Frameworks: <...