Accrete
https://www.accrete.ai/Founded :
2017
Type :
Product
Size :
100-500
Stage :
Profitable
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.
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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
nebula
VisitAccrete Nebula is a modular AI platform that powers our configurable analytical AI Agents.
Accrete’s Nebula platform continuously reads, understands, and learns at scale, transforming random data into relevant knowledge. Through its configurable analytical AI Agents, Accrete Nebula continuously accumulates interdisciplinary knowledge connecting dots and surfacing predictive insights that are beyond human capacity.
At Nebula’s core are continuous learning, few-shot learning, contextual understanding, natural interaction, self-perpetuating knowledge graphs, uniquely modified transformers, and large language models.
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Jobs at Accrete
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Mumbai
5 - 10 yrs
₹50L - ₹70L / yr
Python
Docker
Machine Learning (ML)
KubernetesResponsibilities:
- 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.
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