

Accrete
https://www.accrete.ai/About
Accrete AI delivers universally configurable, reliable, and accurate analytical AI agents that perform work that would otherwise require teams of experts and generate insights beyond human capacity.
Our vision is to create a path to ethical, reliable, and trustworthy artificial general intelligence by deploying analytical AI agents across every domain that capture and scale tacit domain knowledge and create net new knowledge reasoned from ground truth. Our mission is to enable our customers to grow in previously unimaginable ways.
Company video


Candid answers by the company
We’re on a mission to build the best-in-class AI Agents that do complex analytical work, compound knowledge, and generate predictive insight beyond human capacity.
Product showcase
Photos
Jobs at Accrete

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.


Responsibilities:
- Collaborating with data scientists and machine learning engineers to understand their requirements and design scalable, reliable, and efficient machine learning platform solutions.
- Building and maintaining the applications and infrastructure to support end-to-end machine learning workflows, including inference and continual training.
- Developing systems for the definition deployment and operation of the different phases of the machine learning and data life cycles.
- Working within Kubernetes to orchestrate and manage containers, ensuring high availability and fault tolerance of applications.
- Documenting the platform's best practices, guidelines, and standard operating procedures and contributing to knowledge sharing within the team.
Requirements:
- 3+ years of hands-on experience in developing and managing machine learning or data platforms
- Proficiency in programming languages commonly used in machine learning and data applications such as Python, Rust, Bash, Go
- Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes.
- Familiarity with CI/CD pipelines for automated model training and deployment. Basic understanding of DevOps principles and practices.
- Knowledge of data storage solutions and database technologies commonly used in machine learning and data workflows.

Similar companies
About the company
Jobs
5
About the company
Jobs
2
About the company
Jobs
3
About the company
Jobs
2
About the company
Sprinto is an early-stage SaaS startup, working in the information security "compliance" space. This is a flourishing area but has not seen any innovation in the last couple of decades. Thanks to some macro-changes, we think the space is ripe for a startup to become a market leader. Within the launch of six months, we raised a big Series A round of 10M $ funding from India's top-tier VCs. Our job as founders and early team members is to ensure that Sprinto has a shot at this opportunity.
- Sprinto has an experienced founding team. Prior to Sprinto, we (Girish and Raghu) built Recruiterbox.com. We bootstrapped the recruiter box from 2011 to 2017 and scaled it to 2500+ global customers and a team of ~45 people spread across India and the US. At the end of 2017, Recruiterbox was acquired by Turn/River capital.
We wrote most of the early code at Recruiterbox and remained among the top 5 committers even when the company ran at scale. We are engineers at heart and love building scalable systems for people to coordinate, work together and build great things together - Sprinto is well-capitalized from top-notch investors like Accel, Elevation & Blume.
While you have all the advantages of working on challenging problems that come with working in a startup, you also don't have the risk of the company running out of money. - Last but not least, stock options. While all early-stage startups offer stock options, not all of them are the same.
At Sprinto, we aren't satisfied with being just a large/successful company. We want to be the category leader. On a good outcome, your stint with Sprinto will leave you with no need to work for money and you only continue to work for passion.
Jobs
5
About the company
Jobs
2
About the company
Jobs
2
About the company
Jobs
1
About the company
Jobs
26