About DuploCloud:
DuploCloud is a software platform that allows engineering teams to achieve their infrastructure automation, security and compliance goals by offering DevOps-as-a-Service. We strive to make DevOps and Infrastructure-as-Code accessible for everyone; where application developers can focus on building applications rather than writing thousands of lines of code to automate well known operational workflows and compliance standards. DuploCloud is a venture backed company, Series-B funded by Mayfield Fund, WestBridge Capital and StepStone Group.
About the role:
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.
You will be a strong fit for this role if you have experience …
- 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.
Qualifications:
- 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
Compensation Philosophy:
At DuploCloud we recognize the value you bring, and our commitment to your success is reflected in a competitive compensation package tailored to your experience, location, and skills. In addition to our competitive compensation, we offer a comprehensive array of benefits designed to elevate your overall work experience.
Compensation Range
$170,000—$190,000 USD
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)
Note: DuploCloud Inc. is an Equal Opportunity Employer that does not discriminate on the basis of race, color, religion, gender, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. If you have a disability or special need that requires accommodation, please contact us at [email protected].
Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.
This role has been categorized as a Remote position. "Remote" employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.
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.
Applicants may be required to sign a confidentiality agreement during the interview process. Applicants who receive job offers from DuploCloud Inc. will be asked to sign a confidentiality agreement, intellectual property disclosure, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at DuploCloud Inc. and wish to review a copy of the required documents prior to receiving an offer, you may request a copy from your Recruiter.
Top Skills
What We Do
DuploCloud offers an end-to-end DevOps software platform for dev teams that don’t have dedicated DevOps engineers and augments those that do. The platform automates the provisioning of your application to the cloud (AWS, GCP, Azure), integrating cloud ops, DevOps, and security/compliance with 24x7 monitoring and support. The software runs in your cloud account and is accessed thru our UI, Terraform or API.
