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Ml Solutions Jobs (NOW HIRING)

ITC Federal

AI/ML Solutions Architect

Fairfax, VA · Hybrid

AI/ML Solutions Architect LocationUS-VA-Fairfax ID2026-1522 Overview JOB TITLE: AI/ML Engineer - Data & Full-Stack Solutions POSITION INFORMATION: Full-Time Position LOCATION: Fairfax, VA; Hybrid - 3 ...

ITC Federal, Inc.

AI/ML Solutions Architect

Fairfax, VA · On-site +1

$180K - $220K/yr

AI/ML Engineer - Data & Full-Stack Solutions POSITION INFORMATION : Full-Time Position LOCATION: Fairfax, VA; Hybrid - 3 days onsite/2 remote POSITION TIMING: ASAP; hiring immediately BENEFITS:

InterSources Inc

AI/ML Solutions Architect

$64.50 - $85/hr

InterSources Inc is a Global Leader in the Medical Device Industry, seeking an AI/ML Solutions Architect for a 6-month contract. The role involves leading AI initiatives to optimize business ...

Rishabh Software Pvt. Ltd

AI-ML Solutions Lead

Manhattan, NY · Hybrid

$113K - $148K/yr

AI-ML Solutions Lead Location : New York City, NY Duration : FTE Positions: 2 [(Senior Full Stack Engineer (AI/ML Integration); Full Stack Engineer (AI/ML Integration)] Type: Hybrid - 1 Day in office ...

NVIDIA

Solutions Architect, AI and ML

Santa Clara, CA · On-site

$74 - $97.50/hr

The role involves working with Cloud Service Providers to develop and demonstrate solutions, building and deploying AI/ML solutions, and driving end-to-end technology solutions based on customer ...

NVIDIA

Solutions Architect, AI and ML

Redmond, WA · On-site

$70.50 - $93/hr

The role involves working with Cloud Service Providers to develop and demonstrate solutions, building and deploying AI/ML solutions, and driving end-to-end technology solutions based on customer ...

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How much do ml solutions jobs pay per year?

As of Jun 17, 2026, the average yearly pay for ml solutions in the United States is $123,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,500.00 per year, depending on experience, location, and employer.

Is ML a high paying job?

Machine Learning (ML) professionals often earn high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but generally, ML roles are among the higher-paying positions in tech fields.

What job makes $10,000 a month without a degree?

In the field of ML solutions, roles such as freelance machine learning engineers or data scientists can earn $10,000 or more monthly through project-based work, consulting, or remote contracts. Success typically requires strong skills in programming, data analysis, and machine learning tools like Python, TensorFlow, or PyTorch, often gained through self-education or certifications rather than formal degrees.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI solutions architect, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages.

What engineers make $500,000?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong domain knowledge can earn $500,000 or more annually, especially in high-demand industries like tech and finance. Achieving this level often requires advanced degrees, certifications, and a track record of successful projects or leadership roles.
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Ml Solutions jobs near you
Infographic showing various Ml Solutions job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $123,284 per year, or $59.3 per hour.
AI/ML Solutions Architect

AI/ML Solutions Architect

Talent Groups

Grand Rapids, MI

Other

Posted yesterday

Job description

Key Responsibilities
  • Define and lead enterprise AI/ML architecture strategy.
  • Design and implement end-to-end AI solutions across ML, NLP, LLMs, and Generative AI.
  • Architect scalable data pipelines, including batch and real-time/streaming systems.
  • Establish and implement MLOps frameworks for deployment, monitoring, and model lifecycle management.
  • Collaborate with data science and engineering teams to define best practices for AI system design.
  • Evaluate emerging AI/ML technologies and guide adoption strategies.
Required Qualifications
  • 10+ years of experience in software engineering and/or data science.
  • 3–5+ years of experience in AI/ML architecture or solution architecture roles.
  • Strong expertise in machine learning, deep learning, NLP, and system design.
  • Hands-on experience with Generative AI, LLMs (e.g., GPT, LLaMA), and RAG-based systems.
  • Strong Python programming skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform AI/ML services).
  • Knowledge of data engineering concepts including ETL, data lakes, and streaming architectures.
  • Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).
  • Understanding of APIs, microservices, distributed systems, and vector databases.
  • Experience with CI/CD pipelines for ML workflows.
  • Exposure to AI governance, security, and compliance practices

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