Machine Learning Engineer
Alldus International Consulting LtdWashington, DC, United Statesjob_description.job_card.variable_days_ago
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- serp_jobs.job_card.full_time
job_description.job_card.job_descriptionExtensive experience in infrastructure engineering, DevOps or cloud-native environments. Deep understanding of machine learning principles and practical experience with end-to-end ML workflows. Proficient in Python and skilled in best practices for software development. Practical knowledge of cloud platforms such as AWS, Google Cloud or Azure. Experience with distributed computing and designing scalable systems. Enthusiasm for open-source development and active participation in community-driven projects. Salary : $100K – $220K DOE. Equity. Comprehensive health, dental and vision insurance.
Our client, an exciting AI-driven company, are hiring a Machine Learning Engineer to join the team in Seattle, Washington or Palo Alto, California. The successful candidate will be instrumental in building and scaling the infrastructure behind the company’s open AI platform, leveraging strong platform engineering skills and a solid machine learning background to support everything from training workflows to production deployment.
Responsibilities
- Develop and sustain reliable systems for training, deploying and scaling AI models.
- Build and enhance workflows for data preparation, model training, evaluation and deployment.
- Identify and resolve performance bottlenecks to ensure smooth operation for thousands of users and contributors.
- Automate infrastructure provisioning, deployment and monitoring following DevOps best practices.
- Collaborate closely with researchers and developers, both within the company and across our open-source community.
- Contribute to the development and direction of their open-source platform and foundational AI models.
Skillset
Benefits
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Machine Learning Engineer • Washington, DC, United States
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