Senior Lead AI/ML Engineer - R01570774

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Description

Senior Lead AI/ML Engineer Primary Skills - Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements - Experience Range: 6 to 8 years of experience developing modern software applications, including at least 5 years building and optimizing machine learning pipelines with Java, Python, or Scala, and 4 years working with distributed computing frameworks such as Spark, DASK, or Ray. Key Responsibilities: 1. Design, develop, and maintain scalable machine learning pipelines using Java, Python, or Scala to support advanced data science solutions. 2. Implement, optimize, and deploy distributed computing solutions leveraging frameworks such as Spark, DASK, or Ray to handle large-scale data processing and model training. 3. Lead the end-to-end delivery of low-latency inferencing solutions, ensuring robust performance and reliability in production environments. 4. Build and enhance deep learning pipelines for forecasting and personalization using frameworks such as PyTorch and TensorFlow. 5. Collaborate with cross-functional agile teams to design and implement RESTful web se

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