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Hire Train Deploy Developer Jobs (NOW HIRING)

Jobzhr

$180 - $280/hr

Design, train, and deploy production ML systems (LLM-powered agents + time-series models) * Build ... Partner directly with researchers, engineers, and lighthouse customers to validate solutions and ...

New

RainesDev

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

... research, prototype, train, deploy, and iterate rapidly. * Build multimodal ML systems for ... Opportunity to be an early ML hire in a strong engineering-first culture. * High autonomy and ...

Parloa

Forward Deployed Engineer, DevOps

New York, NY · On-site

... deploy, and manage bespoke client solutions with speed and confidence. By creating a robust ... We hire people who think in solutions, communicate with clarity, and follow through. People who are ...

S R INTERNATIONAL INC

Lead AI Engineer

Columbus, OH · Remote

$104K - $138K/yr

Train, deploy, and optimize AI models * Create AI monitoring dashboards using Looker * Mentor AI engineers and conduct design/code reviews * Lead AI proof-of-concept initiatives using emerging ...

o9 Solutions, Inc.

DevOps Manager

Dallas, TX

$152K - $210K/yr

  • Medical

  • Retirement

Hire and grow DevOps talent. * Lead, plan, build, configure, test, and deploy DevOps solutions. * Collaborate with internal and external customers to manage o9 platform deployment, maintenance and ...

E-Solutions, Inc.

Oracle AI consultant

Pittsburgh, PA · On-site

$59.25 - $74.75/hr

Design, build, train, deploy, and monitor scalable AI/ML solutions on Oracle Cloud, including ... Hands-on experience with OCI Generative AI, prompt engineering, embeddings, vector search ...

o9 Solutions, Inc.

DevOps Manager

Dallas, TX · On-site

$152K - $210K/yr

  • Medical

  • Retirement

Hire and grow DevOps talent. * Lead, plan, build, configure, test, and deploy DevOps solutions. * Collaborate with internal and external customers to manage o9 platform deployment, maintenance and ...

SkillStorm

Forward Deployed Engineer (Washington)

Washington, DC · On-site

$95K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Deploy to Fortune 100 companies and federal agencies - the same clients Deloitte, Accenture, and ... No AI experience required - we train you * U.S. citizenship required. Already hold a Secret or Top ...

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy ... Data Engineering & Feature Development * Collect, clean, and analyze structured and unstructured ...

SkillStorm

Forward Deployed Engineer (New York)

New York, NY · On-site

$95K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Deploy to Fortune 100 companies and federal agencies - the same clients Deloitte, Accenture, and ... No AI experience required - we train you * U.S. citizenship required. Already hold a Secret or Top ...

o9 Solutions, Inc.

Senior DevOps Manager

Dallas, TX

$169K - $233K/yr

  • Medical

  • Retirement

Hire and grow DevOps talent. * Lead, plan, build, configure, test, and deploy DevOps solutions. * Collaborate with internal and external customers to manage o9 platform deployment, maintenance and ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

  • Medical

  • Dental

  • Vision

  • PTO

You'll collaborate directly with founders, engineers, and customers to design, train, deploy, and continuously improve machine learning systems that accelerate CAD workflows and hardware design. As ...

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All JobsHire Train Deploy Developer Jobs

Hire Train Deploy Developer information

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$88.2K

$135.5K

How much do hire train deploy developer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for hire train deploy developer in the United States is $88,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is a Hire Train Deploy Developer?

Hire Train Deploy Developers are professionals who are recruited and trained by specialized companies to meet specific client requirements before being placed on client projects. This model allows organizations to quickly fill skill gaps with candidates who have received tailored technical and soft skills training. The process ensures that developers are ready to contribute effectively from day one, reducing onboarding time and increasing project success rates.

What can I expect from the training phase as a Hire Train Deploy Developer, and how does it prepare me for client projects?

As a Hire Train Deploy Developer, the training phase is an intensive period where you’ll gain hands-on experience with the technologies and methodologies commonly used by client organizations. This training is designed to bridge any skill gaps, ensuring you're well-versed in relevant frameworks, tools, and best practices. You’ll often work on simulated client scenarios and collaborate with other trainees, fostering teamwork and communication skills that are vital on real projects. This approach not only boosts your technical proficiency but also acclimates you to the types of challenges and workflows you’ll encounter once deployed to a client site.

What are the key skills and qualifications needed to thrive as a Hire Train Deploy Developer, and why are they important?

To thrive as a Hire Train Deploy Developer, you need a strong grasp of programming fundamentals, problem-solving abilities, and typically a relevant degree or equivalent coding bootcamp experience. Familiarity with industry-standard tools such as Git, cloud platforms, and agile project management systems, as well as any required certifications, is often expected. Effective communication, adaptability, and a willingness to learn are crucial soft skills, especially when transitioning between client projects or technologies. These skills ensure that you can quickly integrate into client teams, deliver value, and continuously upskill in a dynamic deployment model.

What is the difference between Hire Train Deploy Developer vs Software Developer?

AspectHire Train Deploy DeveloperSoftware Developer
CredentialsTypically requires basic programming knowledge, often with certifications in specific technologiesUsually holds a degree in Computer Science or related field, with strong coding skills
Work EnvironmentOften in client sites or training centers, focusing on skill development and deploymentPrimarily in office or remote settings, developing software solutions
Employer & Industry UsageUsed by staffing agencies and companies for rapid deployment of trained developersHired directly by companies for ongoing software development projects

In summary, a Hire Train Deploy Developer is trained and prepared for immediate deployment in specific projects, often with a focus on skill readiness, while a Software Developer typically has a broader, formal education background and works on developing software solutions over longer periods.

What cities are hiring for Hire Train Deploy Developer jobs?

Cities with the most Hire Train Deploy Developer job openings:

What states have the most Hire Train Deploy Developer jobs?

States with the most job openings for Hire Train Deploy Developer jobs include:

What job categories do people searching Hire Train Deploy Developer jobs look for?

The top searched job categories for Hire Train Deploy Developer jobs are:

Hire Train Deploy Developer jobs near you
Infographic showing various Hire Train Deploy Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $88,166 per year, or $42.4 per hour.

Founding Machine Learning Engineer [32934]

Jobzhr

On-site

$180 - $280/hr

Other

Posted yesterday

New

Job description

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models.

The Role

This is not a narrow research role - you'll design, train, deploy, and monitor ML systems end-to-end, moving from prototype to production with speed and autonomy. You'll also be a core contributor to defining how agents interact with multimodal numerical data, a problem space where the playbook does not yet exist.

Job Description:
  • Design, train, and deploy production ML systems (LLM-powered agents + time-series models)
  • Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies
  • Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance
  • Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios
  • Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement
  • Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.)
  • Partner directly with researchers, engineers, and lighthouse customers to validate solutions and drive rapid iteration
What we're looking for:
  • Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems
  • Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory
  • Deep understanding of agent evaluation techniques (reliability, safety, success metrics)
  • Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.)
  • Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability
  • Comfort operating in a fast-paced startup: shipping quickly, making tradeoffs, and thriving in ambiguity
Nice to have:
  • Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data)
  • A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches)
  • Published research or open-source contributions in ML/AI
Location & Sponsorship
  • Location: San Francisco Bay Area, CA (in-person)
  • Visa Sponsorship: H1-B, O1
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