MLOps Engineer
On-site
Full Time
#Engineering
#AI ML
#Cloud Computing
#Python
#AWS
#Azure
#GCP
#Docker
#Kubernetes
#MLFlow
#Sagemaker
#Kubeflow
#Machine Learning
At Verantos, we are leading the way in generating high accuracy real-world evidence. Our platform is trusted by some of the largest biopharma companies globally, as we integrate complex data sources like electronic health records to support critical clinical studies. We rely on a sophisticated tech stack that combines data science, artificial intelligence, and advanced cloud infrastructure to deliver results that meet the rigorous standards required for regulatory and reimbursement purposes.
About the Role
We are looking for a Senior MLOps Engineer to join our team on a full-time basis. In this role, you will be a key contributor to our AI/ML department, focusing on bridging the gap between experimental model development and reliable production deployment. You will help us refine our workflows to ensure that our machine learning initiatives are scalable, efficient, and impactful.
Key Responsibilities
- Design and maintain robust machine learning infrastructure, including the pipelines and workflows necessary to support our production environments.
- Use your Python expertise to build and optimize automation scripts, data processing tasks, and overall machine learning workflows.
- Collaborate with data scientists, software engineers, and DevOps specialists to align our technical infrastructure with our broader business objectives.
Requirements
- A Bachelor’s degree in Computer Science or Electronics and Communication Engineering.
- At least 4 years of professional experience in cloud engineering, with hands-on expertise in AWS, Azure, or GCP.
- A minimum of 1 year of experience specifically in MLOps or machine learning engineering, including successful production-level deployments.
- Strong technical proficiency in Docker and Kubernetes.
- Practical experience with industry-standard MLOps tools such as MLFlow, Sagemaker, or Kubeflow.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse stakeholders.
Location
This position is based in India and requires an on-site presence.
Compensation and Benefits
We offer a collaborative environment where you will have the opportunity to work with cutting-edge technology and contribute to meaningful advancements in the biopharma industry. We value our team members and provide a professional space to grow your skills in cloud computing, generative AI, and machine learning.
