AI / ML Developer, DuploCloud

$170-190k

The pay listed above is specific to California, Colorado, Connecticut, Maryland, Nevada, New York, Rhode Island, and Washington. The standard base pay range listed for this role may not be applicable to other locations

AWS

GCP

Python

Azure

Senior level

Remote from US

More information about location

DevOps automation platform

Job no longer available

DevOps automation platform

101-200 employees

B2BComplianceSaaSCyber SecurityDevOpsAutomation

Job no longer available

$170-190k

AWS

GCP

Python

Azure

Senior level

Remote from US

More information about location

101-200 employees

B2BComplianceSaaSCyber SecurityDevOpsAutomation

Company mission

To empower developers in organization to be able to build and operate their own infrastructure.

Job

Company

Role

Who you are

5+ years of demonstrated ability as a Python developer
5+ years of demonstrated ability working on AI/ML use cases
Experience working with both customers and internal teams to collect requirements, troubleshoot issues, and identify new uses cases
Dynamic team member who will both teach and learn from all of us on the Growth Team
Problem solver who can interpret sophisticated problem statements, boil them down into simple solutions, and collaborate with customers and other teams
Comfortable in both a business and technical context, working with executives or talking shop with technical audiences
Open to giving and receiving feedback, tolerate failure and are passionate about making clients successful
Strong knowledge of LLMs provided by Cloud Providers (AWS, Azure, GCP)
Strong knowledge of LLMs provided by private companies (open.ai, Anthropic, etc)
Strong knowledge of RAG
Strong knowledge of building AI based chatbots and incorporating Agent/Assistant capabilities into the chatbot
Must have previous DevOps experience
Must have previous AWS experience

What the job involves

DuploCloud is looking for an AI / ML Developer with a demonstrated background in developing AI applications and a passion for working on the cutting edge of AI capabilities
The role involves working in our AI Growth Team and working closely with our Onboarding team, Operations Team, and our customers
This role will contribute significantly to the growth trajectory of the company by creating AI solutions for a captive audience of existing DuploCloud customers
Designing, developing, and optimizing machine learning models to solve specific business problems. This includes feature engineering, model selection, hyperparameter tuning, and performance evaluation
Working with large datasets, ensuring data quality, cleaning, and preprocessing
Deploying machine learning models into production environments
Develop APIs or integrate models with existing software applications
Ensuring models are scalable and perform well in a production environment, considering factors such as latency, throughput, and resource utilization
Conducting experiments to validate model assumptions, fine-tune algorithms, and evaluate the performance of different approaches
Working closely with cross-functional teams, including data scientists, software engineers, product managers, and business analysts, to understand requirements and deliver solutions
Documenting models, processes, and systems to ensure clarity and maintainability
Staying up-to-date with the latest developments in machine learning, AI, and related fields. Apply new techniques and tools to improve models and processes
Monitoring models in production to ensure they perform as expected over time. Retrain models as needed and address any issues that arise

Our take

DuploCloud was created in response to what its founder called a “technical inequity in the cloud development space", having discovered a lack in automation techniques while working on Microsoft Azure's cloud software. In short, it was founded to address the lack of diversity in built-for-purpose tools for the cloud infrastructure provision space.

The company's suite of products includes automated provisioning, compliance services, and integration tools for more than 500 cloud services. Working with both startups and hypergrowth companies, the aim is to help companies manage their cloud services without having to build their own automation tools or rely on impersonal cloud giants like Microsoft and AWS.

Its target market then are companies that want scalable cloud provision tools that would otherwise cost millions to build and maintain. The company is clearly on to something, as it boasts an annual recurring revenue that grew 700% between 2021 and 2023. It has also successfully raised $32 million in Series B funding, which exemplifies the demand for its market gap-bridging product.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

Nov 2023

$32m

SERIES B

Feb 2022

$15m

SERIES A

Total funding: $52m

Company benefits

Remote flexible work options
Employee assistance program (EAP)
Medical, dental & vision benefits supplement
Life & supplement life and Critical illness insurance
Health Savings Account (HSA), Flexible Savings Account (FSA)

Company HQ

Trimble Business Area, San Jose, CA

Leadership

Venkat Thiruvengadam

(CEO)

Previously a Principal Engineer at Zenefits and MTS at Insieme Networks. Was also Senior Software Engineer at Microsoft and a Research Assistant at Illinois Institute of Technology.

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