Senior MLOps Engineer

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AGCO is looking to hire candidates for the position of AI/ML Operations Lead. AI/ML Operations Lead to oversee the monitoring and maintenance of AI use cases in production.
The ideal AI/ML Ops Lead will have a strong background in artificial intelligence, machine learning, and deep learning, with a specific focus on supporting AI opportunities in the organization. This role will work closely with data scientists, data engineers, AI/ML engineers, and other cross:functional teams to ensure AI systems are seamlessly integrated across the organization 's operations, ensuring that productionalized AI solutions are scalable, accurate, secure, and compliant with established standards and governance. The ideal candidate will also be responsible for enhancing existing AI Solutions in cloud:based environments and with integration into various platforms, including websites and Tableau dashboards.
Your Impact
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Monitor and maintain AI/ML models in production to ensure optimal performance and reliability, addressing any technical challenges that arise.
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Collaborate with development teams to understand the AI use cases and their integration into production environments.
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Design and implement scalable architectures ensuring that productionalized AI use cases are at optimal performance, scalable, accurate, and secure, adhering to ethical AI/ML practices, compliance and governance standards.
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Conduct regular assessments of AI models to identify areas for improvement. Enhance and fine:tune models to generate high:quality outputs for various applications.
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Guide team members for implementation of robust data pipelines and workflows to support data science and AI initiatives.
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Collaborate with ML engineers to establish and maintain CI/CD pipelines for model deployment, monitoring, and lifecycle management to ensure models remain reliable and efficient in production.
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Develop and maintain documentation related to AI operations, including monitoring processes, performance metrics, and governance compliance.
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Work with cross:functional teams to integrate AI models into websites, Tableau dashboards, and other applications as necessary.
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Provide support and troubleshoot issues in production environments, identifies solutions and implements resolutions swiftly.
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Partner with AI and Advanced Analytics development team in maintaining AI tools in production and monitoring for accuracy and support. Performs exploratory data analysis to identify trends, patterns, and anomalies, etc.
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Stay up to date with industry trends and emerging technologies in AI and machine learning and recommend innovative solutions to improve our operational capabilities.
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Facilitate communication and collaboration between the AI and BI Ops team and other business units to align AI initiatives with organizational goals. Provide technical guidance and mentorship to team members on AI best practices, tools, and methodologies.
Your Experience and Qualifications
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Experience: Min 8 years of experience in data, with at least 5 years of experience in AI, machine learning, or data science, with a focus on operationalizing AI solutions in a cloud environment.
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Programming Proficiency: Strong proficiency in programming languages such as Python, R, and SQL.
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Cloud Platforms: Experience with cloud platforms (e.g., AWS, Google Cloud, Databricks) and deploying AI models in production environments, including services like AWS (SageMaker, Redshift, Lambda, EC2/ECS), Google Cloud Platform (BigQuery, Vertex AI) and AI/ML automation tools.
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Deep Learning and ML Algorithms: Experience working with deep learning algorith
Job Type: Permanent