What are the responsibilities and job description for the ML Ops Engineer position at Motion Recruitment?
Job Description
Job Description We are looking for an ML Ops Engineer to join our client's team. They are a fast-growing tech startup headquartered in Los Angeles, California looking for talented, dynamic team members who want to help shape our groundbreaking artificial intelligence platform. This is a remote opportunity, and they have a significant number of team members in Chicago, Seattle, SF Bay Area, NYC, and Nashville.
They are transforming and accelerating clinical trials, to help get life-saving treatments to patients faster and accelerate innovation in healthcare. To that end, they build a cutting-edge software suite that connects all clinical research stakeholders, from research teams to treating physicians, patients, and study sponsors on a real-time, real-world data SaaS platform, powered by AI.
The primary role of this ML Ops Engineer will be to collaborate with data scientists to take ML models and build them out to scale for functioning and productive units or models. This will also include working on the automation of models, prediction systems, and overseeing their process of deployment and management in multiple environments. Primary focus of this role will be on designing & deploying self-contained AI/ML systems for the automation of prediction models for business stakeholders. Required Skills & Experience
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
They are transforming and accelerating clinical trials, to help get life-saving treatments to patients faster and accelerate innovation in healthcare. To that end, they build a cutting-edge software suite that connects all clinical research stakeholders, from research teams to treating physicians, patients, and study sponsors on a real-time, real-world data SaaS platform, powered by AI.
The primary role of this ML Ops Engineer will be to collaborate with data scientists to take ML models and build them out to scale for functioning and productive units or models. This will also include working on the automation of models, prediction systems, and overseeing their process of deployment and management in multiple environments. Primary focus of this role will be on designing & deploying self-contained AI/ML systems for the automation of prediction models for business stakeholders. Required Skills & Experience
- 2 years of work exp. in Machine Learning
- Exp. working with AzureML
- Proficient w/Python OR Scala
- Proficient w/PyTorch, Tensorflow/Kera, or Scikit-Learns
- Exp. working with Docker/Kubernetes
- Familiar with cloud-based infrastructure and ML Ops
- Knowledge of software architecture, data modeling, and data structures
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO) (4 weeks of vacation to start, five sick days, and two volunteer days)
- 401(k) {including match- if applicable}
- Bonus (discretionary, depends on cand & experience)
- Flexible schedule
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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