What are the responsibilities and job description for the Artificial Intelligence Operations Specialist position at Jobot?
Company Overview
We are a dynamic team in Chicago seeking an experienced MLOps Engineer to join our ranks. This exciting role will involve working on the cutting edge of machine learning operations, helping to develop, deploy, and maintain AI models that will revolutionize healthcare.
Job Description
As an MLOps Engineer, your primary responsibilities will include developing, deploying, and maintaining AI models in a production environment, ensuring their reliability and robustness. You will collaborate with data scientists and engineers to integrate machine learning algorithms into our existing systems, design and implement machine learning pipelines and workflows, monitor and troubleshoot machine learning models in production, ensure compliance with data privacy and security regulations, and keep up-to-date with the latest industry trends and technologies, and implement them when appropriate.
Required Skills and Qualifications
The successful candidate should have a Bachelor's degree in Computer Science, Engineering, or a related field, a minimum of 5 years of experience in MLOps, Data Engineering, or a related role, strong experience with cloud platforms such as Azure Machine Learning, AWS, and GCP, proficiency in programming languages such as Python and SQL, experience with Big Data technologies such as Spark, experience with Natural Language Processing (NLP) and GenAI, a strong understanding of machine learning algorithms and principles, excellent problem-solving skills and the ability to troubleshoot complex issues, and strong communication skills and the ability to work effectively in a team.
Benefits
This is a fantastic opportunity for an experienced MLOps Engineer to make a real impact in the healthcare industry. The successful candidate will be offered medical, dental, vision insurance, 401k with company match, generous PTO & sick leave, flexible work schedule, annual bonuses, and hybrid work schedule (2-3 days work from home flexibility).
Others
Interested candidates can apply by clicking the 'Apply Now' button.
We are a dynamic team in Chicago seeking an experienced MLOps Engineer to join our ranks. This exciting role will involve working on the cutting edge of machine learning operations, helping to develop, deploy, and maintain AI models that will revolutionize healthcare.
Job Description
As an MLOps Engineer, your primary responsibilities will include developing, deploying, and maintaining AI models in a production environment, ensuring their reliability and robustness. You will collaborate with data scientists and engineers to integrate machine learning algorithms into our existing systems, design and implement machine learning pipelines and workflows, monitor and troubleshoot machine learning models in production, ensure compliance with data privacy and security regulations, and keep up-to-date with the latest industry trends and technologies, and implement them when appropriate.
Required Skills and Qualifications
The successful candidate should have a Bachelor's degree in Computer Science, Engineering, or a related field, a minimum of 5 years of experience in MLOps, Data Engineering, or a related role, strong experience with cloud platforms such as Azure Machine Learning, AWS, and GCP, proficiency in programming languages such as Python and SQL, experience with Big Data technologies such as Spark, experience with Natural Language Processing (NLP) and GenAI, a strong understanding of machine learning algorithms and principles, excellent problem-solving skills and the ability to troubleshoot complex issues, and strong communication skills and the ability to work effectively in a team.
Benefits
This is a fantastic opportunity for an experienced MLOps Engineer to make a real impact in the healthcare industry. The successful candidate will be offered medical, dental, vision insurance, 401k with company match, generous PTO & sick leave, flexible work schedule, annual bonuses, and hybrid work schedule (2-3 days work from home flexibility).
Others
Interested candidates can apply by clicking the 'Apply Now' button.
