Responsibilities :

Set up and maintain GCP cloud native infrastructure and manage pipelines, exposure to client infrastructures in AWS & Azure

Build high-performance compute platforms for ML applications at scale using Python, Golang, argoCD

Write custom Terraform providers in Go to administer platform ACLs and enable cross-product AuthZ IaC

Design and automate infrastructure architecture using IaC tools like Terraform or Ansible

Build and maintain scalable data ingestion pipelines from CRMs, Marketing Automation, and Sales Acceleration Platforms

Perform data normalization, cleaning, and transformation for quality assurance.

Exposure to Data Science

Manage cloud persistence for database and storage solutions for efficient data retrieval and storage. (Shared with Application Engineer.)

Ensure all engineering teams adhere to infrastructure standards and provide necessary support.

Education: Bachelors or Masters in Computer Science or Engineering preferred Why Join the Team?

You’ll work on impactful projects, pushing the boundaries of AI and machine learning.

Join a team that values innovation, collaboration, and the transformative power of technology.

Let’s build the future together!

Some information about the company:

1. Proven Leadership and Track Record:

The leadership team brings a wealth of experience across various startups, demonstrating adaptability and success in creating high-growth companies. This track record of success, coupled with strong ties to venture capital, ensures a solid foundation for new ventures.

2. Backed by Major Venture Capitalists:

Having financial support from well-established venture capitalists positions the company to scale quickly while maintaining financial stability. This partnership provides both capital and strategic guidance for navigating the complexities of growth.

3. Customizing Existing Models:

Instead of starting from scratch, the company focuses on adapting and optimizing existing LLMs to maximize success in specific markets and industries.

4. Targeted Success:

Rather than taking a broad, one-size-fits-all approach, the company tailors its strategies to the unique demands of each market and target customer segment, ensuring higher chances of success and more sustainable growth.

SherlockTalent loves to share $1,000 bonuses for successful referrals. H-1B transfers are possible.