Senior MLOps Engineer
Motion Recruitment Partners
**Must have consistent and dedicated experience working in MLOps solely**
We are Leading the charge in revolutionizing drug discovery with AI, our state of the art platform unravels biology's complexities to uncover unique drug targets, mechanisms, and therapies that traditional approaches cannot reach.
We are hiring for a Senior MLOps Engineer. We're on the hunt for experts with hands-on MLOps experience and a solid grasp of ML infrastructure management, capable of seamlessly integrating ML and production environments. In this pivotal role, you'll spearhead the creation of groundbreaking AI applications, particularly scalable ML pipelines transforming the medical discovery industry. You'll architect and manage high-performance systems, making crucial decisions that impact our entire business.
MLOps seniority is the key skillset we are looking for, not seniority in Data science. Key assets in this role are someone with distributed systems experience and has designed a system on the cloud.
This is a unique opportunity to be a senior member in our team and provide your expertise and see the results of your work on the business in real-time. If you have the MLOps skills and are ready to work somewhere that addresses real-world challenges, then don’t hesitate to apply!??
**Must have consistent and dedicated experience working in MLOps solely** Required Skills & Experience 5+ years of consistent experience working as an MLOps engineer or equivalent Expert level experience in deploying and scaling ML models Experience designing on a cloud system Exceptional communication skills Desired Skills & Experience Experience with distributed training across multiple GPU’s What You Will Be Doing Tech Breakdown 100% MLOps Daily Responsibilities 80% Hands On 20% Thought leadership and mentorship The Offer Competitive salary You will receive the following benefits: Stock Options Medical, Dental, Vision, insurance benefits Four weeks’ vacation Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.
We are Leading the charge in revolutionizing drug discovery with AI, our state of the art platform unravels biology's complexities to uncover unique drug targets, mechanisms, and therapies that traditional approaches cannot reach.
We are hiring for a Senior MLOps Engineer. We're on the hunt for experts with hands-on MLOps experience and a solid grasp of ML infrastructure management, capable of seamlessly integrating ML and production environments. In this pivotal role, you'll spearhead the creation of groundbreaking AI applications, particularly scalable ML pipelines transforming the medical discovery industry. You'll architect and manage high-performance systems, making crucial decisions that impact our entire business.
MLOps seniority is the key skillset we are looking for, not seniority in Data science. Key assets in this role are someone with distributed systems experience and has designed a system on the cloud.
This is a unique opportunity to be a senior member in our team and provide your expertise and see the results of your work on the business in real-time. If you have the MLOps skills and are ready to work somewhere that addresses real-world challenges, then don’t hesitate to apply!??
**Must have consistent and dedicated experience working in MLOps solely** Required Skills & Experience 5+ years of consistent experience working as an MLOps engineer or equivalent Expert level experience in deploying and scaling ML models Experience designing on a cloud system Exceptional communication skills Desired Skills & Experience Experience with distributed training across multiple GPU’s What You Will Be Doing Tech Breakdown 100% MLOps Daily Responsibilities 80% Hands On 20% Thought leadership and mentorship The Offer Competitive salary You will receive the following benefits: Stock Options Medical, Dental, Vision, insurance benefits Four weeks’ vacation Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.
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