DevOps/MLOps Internship

Job Summary:

We are seeking a motivated DevOps/MLOps Intern to join our team and assist in building our post-deployment pipeline. As an DevOps/MLOps Intern, you will work alongside experienced data scientists and machine learning engineers to optimize our deployment pipeline and ensure the smooth deployment of our customers' models. You will also play a key role in building and maintaining our infrastructure, including our cloud-based platform, and will have the opportunity to gain hands-on experience in a fast-paced startup environment.

Key Responsibilities:

• Assist in the design, implementation, and maintenance of our deployment pipelines
• Help optimize our infrastructure to ensure scalability and reliability
• Develop and maintain tools and processes to automate deployment and monitoring
• Collaborate with cross-functional teams to ensure smooth handoff from development to production
• Continuously monitor and improve the performance of deployed models
• Participate in team meetings and contribute to the development of the company's overall strategy
• Stay up-to-date with industry trends and best practices in MLOps and AI/ML deployment
• Passionate about AI/ML

Qualifications:

• Strong programming skills in Python is a must and familiarity with popular ML libraries such as TensorFlow or PyTorch
• Familiarity with cloud-based infrastructure and technologies such as AWS or Azure
• Basic understanding of DevOps principles and experience with Docker and Kubernetes
• Strong problem-solving and analytical skills
• Excellent communication and teamwork skills
• Self-starter with the ability to work independently and take ownership of projects.

Technologies:

We expect the candidate to have familiarity in these technologies.

• Python or Golang(Proficiency in at least one of them )
• Docker (or any other equivalent containerization tool)
• Kubernetes
• AWS/Azure/GCP (knowledge in any one of the cloud providers)

Familiarity in these technologies is not a requirement but good to have. Candidates with familiarity in these tools would be highly preferred.

• Kubeflow
• Knative
• Nvidia Triton
• Prometheus
• Grafana
• Loki/Fluentd
• Kafka
• Snowflake

This is a paid internship position with the potential for a full-time position upon completion. If you are passionate about machine learning, have a desire to work in a fast-paced startup environment, and are eager to gain hands-on experience in MLOps, we encourage you to apply.

Stipend

• Stipend will be between INR 10,000 - INR 15,000 (full-time, preferrable) per month.
• Opportunity for a pre-placement offer based on performance.