ML Engineer internship – Quantumics.AI

Who we’re:

Quantumics.AI is a part of Derisk360 Headquarters in London UK.

Quantumics.AI World’s first and only Citizen DataOps platform designed and engineered for business users to prepare and automate data for analytics and AI within minutes without a single line of code. The platform is built around artificial intelligence technology. We help to create domain specific projects workspace for Data management and auto profile the quality to monitor continuously against the business roads.

We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. We work to solve business challenges and creating positive change around the world.

We’re different and we’re proud of it!!!!!!

Visit our website: Quantumics.AI: https://www.quantumics.ai/

Derisk360: https://www.derisk360.com/

Role : Machine Learning Intern

About the role

As a critical member of the team, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications.With Level AI, you will get to have fun, learn new things, and grow along with us.

Role and responsibilities :

• Create and develop ML Operations Pipelines which allow for controlled and continuous enhancement of existing and new ML features and training pipelines.
• Design, build, and develop state of art machine Learning system infrastructure core components and architect platforms to create, train and deploy ML models.
• Automate the operational support for model training and model serving pipelines.
• Build operating dashboards and charts to track system errors, performance and enable root cause analysis.
• Identify gaps and evaluate relevant tools and technologies as needed to improve processes and systems, leveraging open-source and cloud computing technologies to build effective solutions.
• Collaborate with the AI team to drive ML projects from conception to completion and production monitoring.

Requirements :

• Bachelors in Computer Science or related fields.
• Knowledgeable in developing deployment/serving pipelines and orchestrating the deployment of ML models for production grade systems.
• Understanding of Kubernetes, Docker, CI/CD tools, Prometheus, preferably working with ML models.
• Knowledge of ML Operations tools such as KubeFlow, MLFlow, Metaflow, or Sagemaker.
• Knowledge with Triton inference server, SeldonCore, K-Serve and related tool stack is a huge bonus.
• Good to have serializing/exporting and serving deep learning models at scale, and deploying using modern ML platforms.
• Strong troubleshooting skills to keep our ML models highly available.
• You have a passion for learning and adopting new technologies with a focus on finding the right tool for the job, and a sense of ownership of your work.
• Self-starter with excellent verbal and written communication and presentation skills.

If interested , please share your resume on soni.mishra@derisk360.com

Thanks