Machine Learning Engineer
Corteva
- Hyderabad, Telangana
- Permanent
- Full-time
- Design and implement production-grade, user-friendly infrastructure to run AI pipelines at scale including model development, model deployment, model serving, model monitoring and experimentation.
- Utilize best practices in DevOps and machine learning methods on cloud native computing architectures with an infrastructure-as-code approach using tools like Terraform and Git.
- Ensure complete utilization of our high-performance GPU and CPU computing assets on bare-metal and cloud environments (AWS, GCP, Azure) with emphasis on efficient resource management and cost effectiveness.
- Create reliable and reproducible workflows and pipelines that deliver data products to our end users.
- Automate and streamline ML operations and processes.
- Build and maintain tools for deployment, monitoring, and operations. Also troubleshoot and resolve issues in development, testing, and production environments
- Experience in optimizing Machine Learning application for a target architecture is a plus
- Team player with ability to work across a diverse team, also cross-functionally and in geographically distributed teams.
- Meet the needs of Data Scientists, ML Engineers and provide mentorship to junior team members.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Science/Analytics or related field.
- 5+ years of industry experience working in Software Engineering, DevOps or Data Engineering with Data Science and MLOps experience.
- 4+ years of hands-on experience building the end-to-end design, development, and deployment of modelling solutions.
- 2+ years of experience working with Docker images and maintaining docker-based micro services. Good hands-on experience with containerized orchestration tools like Kubernetes
- Experience in building and deploying applications in Cloud environment like AWS or GCP.
- Proficiency in any one language like Python, R or any other programming languages
- Experience with working on AWS services (S3, RDS, EC2, EBS, SQS, Lambda)
- Experience in converting plain python models into deployable REST services using any frameworks (Seldon-Core / Kfserving etc.)
- Experience with Pytorch, Tensorflow, Caffe2 or relevant frameworks will be an added advantage
- Superior written communication and presentation skills.