Machine Learning Engineer


  • Hyderabad, Telangana
  • Permanent
  • Full-time
  • 1 month ago
DescriptionCorteva Agriscience is seeking a Machine Learning Engineer to implement of our end-to-end ML pipeline by leveraging their deep knowledge of best practices in machine learning, data pipelines and large-scale distributed systems. As part of our global Farming Solutions and Digital group, you'll be working on developing and enhancing our core ML capabilities as applied to large-scale agricultural datasets in imaging, genomics, remote sensing, natural language processing, plant breeding, etc.The successful candidate will work closely with data engineers, software engineers, ML engineers, and data scientists in a dynamic and exciting research environment to implement scalable machine learning solutions requiring collaboration with team members and key stakeholders. You will operate as a thought leader and visionary that will encourage and promote disruptive advances by enabling the implementation of state-of-the-art methods in machine learning and artificial intelligence. This is a critical position with strategic impact on our business and you will play a major role by driving innovation in agriculture technology.
  • 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.


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