| Job Opening:- ML Engineer or MLOps at Remote, Remote, USA |
| Email: [email protected] |
| From: clara, Yochana [email protected] Reply to: [email protected] Hi Hope you are doing good. I wanted to reach out to you today because we have an open position for a ML Engineer / MLOps with one of our Clients. The client has a strong reputation in the industry for being a top company to work for. The management and staff provide a great work-life balance with many perks for their employees ROLE:- ML Engineer / MLOps LOCATION:-San Antonio TX Machine Learning /MLOps Engineer 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 sagemaker is a plus. Certified in Snowflake and AWS is a plus. Experience in Financial Domain is a plus. Thanks & regards, Clara Kunigiri Resource Specialist Yochana IT Solutions 23000 Commerce Dr., Farmington hills, MI-48335 [email protected]|| www.yochana.com Join the Referral Revolution of Yochana by Sharing, Earning, and Empowering! Ask us about our rewarding referral program Keywords: artificial intelligence machine learning rlang information technology Michigan Texas Job Opening:- ML Engineer or MLOps [email protected] |
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| Mon Oct 28 21:55:00 UTC 2024 |