| Machine Learning Engineer MLOps & GCP at Basking Ridge, New Jersey, USA |
| Email: [email protected] |
| Machine Learning Engineer MLOps & GCP Location: Basking Ridge, NJ (Hybrid, 3days a week) Responsibilities : Deploy the ML models developed by data scientists in the production systems using GCP, BigQuery, and Airflow Collaborate with data scientists to seamlessly integrate model code (Python/PySpark) into the MLOps workflow. Resource and code Optimization of the ML model prediction scoring pipelines in GCP ecosystem so that the models run within the defined SLA Debug the ML model scoring failures for code and resource issues Orchestrate the model scoring pipelines using Cloud Composer Deploy Auto-ML solutions in the production systems Implement model performance monitoring (LIFT, ROC, Accuracy, and so), model stability monitoring, and feature/concept drift monitoring for all the new models Implement modernization practices such as observability and explainability for enhanced model monitoring and interpretability. Work closely with Responsible AI teams to ensure ethical AI principles and incorporate fairness, transparency, and accountability. Utilize Jenkins and GitLab for effective code management and version control. Leverage Vector DB(Milvus or any other), and LLM services in order to deploy LLM modelsQualifications : 8+ years of proven experience in AI/ML Engineering and minimum of 2 to 3 years of experience in GCP ecosystem is a must Master's or Bachelor's in Computer Science or in related fields; Concentration in Data Science is good to have Strong expertise in MLOPs best practices, CICD, and orchestration Basic to intermediate understanding on the working mechanism of each of the following: Classification (Random Forest, xgboost, catboost), Regression (Linear, Lasso, Ridge), Recommendation systems, dimensionality reduction techniques, deep learning (Neural Networks), and LLMs Proficient in PySpark and Python programming and GitLab for code management. Excellent communication skills for effective collaboration. Candidates holding Certification in Google Cloud and in Data Science are highly encouraged -- Keywords: artificial intelligence machine learning database information technology New Jersey |
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| Tue Jan 30 20:45:00 UTC 2024 |