| Machine Learning Engineer || San Antonio, TX || Contract at Remote, Remote, USA |
| Email: [email protected] |
| From: Ramesh M, VDart [email protected] Reply to: [email protected] Role: Machine Learning /MLOps Engineer San Antonio TX Contract Job responsibilities: Implementing Data Ingestion pipelines for Batch and streaming data at petabyte scale Experience in building and deploying machine learning / AI models in the cloud Run machine learning tests / experiments and perform statistical analysis and fine-tuning using test results To research, experiment with, and implement suitable ML algorithms and tools. Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs Optimize data delivery and re-design infrastructure for greater scalability Identify, design, and implement internal process improvements Preferred Skills & Qualifications: Computer Science / Computer Engineering Degree with Minimum of 8 years data Engineering experience including 3 years of MLOps experience. Experience in requirement gathering, analysis and solution design. Proficient in Python and strong in SQL. Experience in data and ML pipeline implementation using Python/R/SQL/Docker/Kubernetes/Domino Data Lab . Experience in Snowflake, AWS, and Kafka. Experience in Scheduling tools like Control-M and Airflow. Experience in Agile development methodologies. Deep knowledge of math, probability, statistics, and algorithms Excellent algorithm and data structure skills Strong problem solving and troubleshooting skills with the ability to exercise mature judgment. Excellent interpersonal and collaboration skills Additional skills : Experience in Gen-AI and AWS sage maker is a plus. Certified in Snowflake and AWS is a plus. Experience in Financial Domain is a plus. Regards, Ramesh M Team Lead Email: [email protected] Keywords: artificial intelligence machine learning rlang Texas Machine Learning Engineer || San Antonio, TX || Contract [email protected] |
| [email protected] View all |
| Wed Nov 06 03:49:00 UTC 2024 |