Overview
Coders Connect are partnering with a leading provider of document and workflow automation software solutions to the global structured products industry. Their document, workflow, connectivity and data solutions enable straight-through processing and deliver improved efficiency, accuracy and insight for its capital markets clients. They are currently preparing for a significant growth phase and are hiring to expand their technology team.
About the role:
- Collaborate closely with ML Engineers and Software Engineers to design, develop, and implement comprehensive machine learning solutions.
- Build and maintain scalable and reliable infrastructure for machine learning model deployment and monitoring.
- Develop tools and frameworks to enable ML Engineers to bring their models into production more efficiently.
- Monitor and optimize the performance of machine learning models in production.
You should:
- Have a strong background in Software Engineering, Machine Learning and operationalizing Machine Learning models at scale.
- You will play a key role in automating the machine learning lifecycle, from model development, testing and deployments to monitoring and management in production environments
Requirements:
- Proven experience in deploying and managing machine learning models in scalable, highly available environments.
- Strong programming skills in Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with cloud services (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
- Understanding of machine learning algorithms and data preprocessing techniques.
- Familiarity with CUDA framework for GPU-accelerated computing.
- Experience with model / data version control tools (e.g., DVC, MLflow, wandb, Git LFS, Kubeflow)
- Experience with model serving technologies (e.g., Triton Inference Server,TensorFlow Serving, TorchServe)
This job was originally posted as: https://thecareerwallet.com/stats/track/MTUyNzUzOTUxMi18LTE0NS18LTcw