| Machine Learning Engineer Data Scientist at Remote, Remote, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3050400&uid=a87baac0809d4cca842f507a4e405c71 From: Irfan shaik, Agile Enterprise Solutions [email protected] Reply to: [email protected] Hello, >>>BacK Again <<<< Urgent!!!!! >>>Need and 11+ and Ready to share PPN and Copy,Linkedin Url and Machine Learning Engineer / Data Scientist , Alpharetta, GA, USA /Need Locals from Alpharetta, GA. Job Title: Machine Learning Engineer / Data Scientist with expertise in Google Cloud Platform (GCP), Databricks, Kubernetes, and Generative Alpharetta, GA $60/hr on C2C Contract Job Description: We are seeking a skilled and innovative Machine Learning Engineer / Data Scientist with expertise in Google Cloud Platform (GCP), Databricks, Kubernetes, and Generative AI. This role involves designing and deploying scalable ML solutions, integrating cutting-edge generative models, and establishing robust monitoring systems to ensure performance and reliability in production environments. Key Responsibilities: Design, develop, and deploy ML models and AI solutions using GCP and Databricks. Build scalable data pipelines and ML workflows using Spark, Delta Lake, and GCP services (BigQuery, Vertex AI, Cloud Functions). Containerize and orchestrate ML applications using Docker and Kubernetes. Integrate and fine-tune Generative AI models (e.g., LLMs, decoder models) for tasks such as summarization, content generation, and intelligent automation. Experience implementing RAG pipelines using Vertex AI, GCPs AI Embeddings API, and vector search capabilities in Google Clouds Vertex AI Matching Engine to enable scalable semantic retrieval for LLM-based applications. Proficient in managing embedding generation and indexing workflows within GCP, including integration with BigQuery, Cloud Storage, and Vertex AI Feature Store to support real-time and batch retrieval for generative AI use cases. Establish end-to-end monitoring for ML systems in GCP using tools like Cloud Monitoring, Vertex AI Model Monitoring, and Cloud Logging like Define and track key performance metrics such as Model accuracy, precision, recall, F1-score etc., Implement MLOps best practices using MLflow, Vertex AI Pipelines, and CI/CD frameworks. Ensure compliance with data governance, privacy, and security standards. Thanks & Regards, Irfan Shaik P : 972-440-0069 Agile Enterprise Solutions Inc. 2591 Dallas Parkway,Suite 300, Frisco,TX 75034. Keywords: continuous integration continuous deployment artificial intelligence machine learning Georgia Texas Machine Learning Engineer Data Scientist [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3050400&uid=a87baac0809d4cca842f507a4e405c71 |
| [email protected] View All |
| 06:59 PM 14-Jan-26 |