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Ml Net Jobs (NOW HIRING)

CoreWeave

Account Executive - Greenfield

Chicago, IL · On-site

You will own net-new logo acquisition across a greenfield Enterprise territory (5,000+ employee ... Engage developers, ML engineers, infrastructure leads, and technical executives (CTOs, VPs of Eng ...

CoreWeave

Account Executive - Greenfield

New York, NY · On-site

You will own net-new logo acquisition across a greenfield Enterprise territory (5,000+ employee ... Engage developers, ML engineers, infrastructure leads, and technical executives (CTOs, VPs of Eng ...

CoreWeave

Account Executive - Greenfield

Seattle, WA

You will own net-new logo acquisition across a greenfield Enterprise territory (5,000+ employee ... Engage developers, ML engineers, infrastructure leads, and technical executives (CTOs, VPs of Eng ...

KeyBank

Key Private Bank Market Leader

Buffalo, NY · On-site

The KPB ML leads the Private Bank sales team to provide comprehensive, integrated investment, trust, banking, and planning solutions for generations of high-net-worth individuals and their families.

Keybank

Key Private Bank Market Leader

Buffalo, NY · On-site

The KPB ML leads the Private Bank sales team to provide comprehensive, integrated investment, trust, banking, and planning solutions for generations of high-net-worth individuals and their families.

LP Careers Page

OR · Hybrid

Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud * Hands-on ... Identify and leverage net-new modeling opportunities the business has not flagged COMPETENCIES

LP Careers Page

OR · Hybrid

Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud * Hands-on ... Identify and leverage net-new modeling opportunities the business has not flagged COMPETENCIES

LP Careers Page

OR · Hybrid

Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud * Hands-on ... Identify and leverage net-new modeling opportunities the business has not flagged COMPETENCIES

LP Careers Page

OR · Hybrid

Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud * Hands-on ... Identify and leverage net-new modeling opportunities the business has not flagged COMPETENCIES

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139K - $183K/yr

The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud ... The Amazon Neuron team works to optimize the performance of complex neural net models on our custom ...

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Ml Net information

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How much do ml net jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for ml net in the United States is $53.73, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $61.30 per hour, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle some tasks, MLEs are essential for creating, tuning, and deploying complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and understanding of algorithms to adapt to evolving AI technologies.

What is an ML.NET job?

An ML.NET job typically involves developing and deploying machine learning models using Microsoft's ML.NET framework. Professionals in this role work with .NET applications, integrating ML capabilities into software solutions. They often preprocess data, train models, and optimize performance for real-world applications. Experience with C#, .NET, and data science principles is usually required.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and experience with tools like TensorFlow or PyTorch. These roles usually involve leadership, strategic planning, and may include stock options or bonuses as part of compensation.

What engineer makes $500,000 a year?

Senior machine learning engineers or AI specialists with extensive experience, advanced skills in deep learning, and strong domain knowledge can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities in complex projects.

What are the typical responsibilities of an ML .NET Engineer on a development team?

As an ML .NET Engineer, your primary responsibilities include designing, building, and integrating machine learning models within the .NET framework, often using ML.NET and related Microsoft technologies. You will collaborate closely with software developers, data engineers, and product managers to ensure models are production-ready, scalable, and aligned with business needs. Daily tasks may involve data preprocessing, model training and evaluation, optimizing performance, and maintaining model pipelines. In many organizations, ML .NET Engineers also contribute to code reviews, mentoring, and continuous improvement initiatives focused on machine learning best practices.

What are the key skills and qualifications needed to thrive in the Ml Net position, and why are they important?

To thrive as an ML .NET (Machine Learning .NET) Engineer, a strong background in machine learning concepts, C# programming, and the Microsoft .NET ecosystem is essential, often backed by a degree in computer science or related fields. Experience with ML.NET, Azure Machine Learning, and version control systems like Git is highly valued, and certifications in Microsoft technologies can be advantageous. Problem-solving, analytical thinking, and the ability to communicate complex technical concepts to non-technical stakeholders are valuable soft skills for success in this role. These skills and qualities are critical for effectively developing, deploying, and maintaining robust machine learning solutions within .NET environments.

Is ML a high paying job?

Machine Learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and company size, but ML engineers and data scientists often earn above average salaries compared to other tech roles.
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Ml Net jobs near you
Infographic showing various Ml Net job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $111,761 per year, or $53.7 per hour.
AI Developer/ AI Engineer (Python Development background)

AI Developer/ AI Engineer (Python Development background)

Sage IT Inc

Reston, VA • On-site

$52.25 - $72/hr

Full-time

Posted 4 days ago

New

Job description


We have a job opportunity of a Role AI Developer with Python development background with given job description on fulltime . Please forward updated profiles to pkanthri@sageitinc.net .
Job Title: AI Developer with Python

Location: Reston, VA(Onsite)

 

Job Description

We are seeking a highly skilled AI Developer with a strong Python development background to design, develop, and deploy AI/ML-based applications and solutions. The ideal candidate should have hands-on experience in Python programming, machine learning frameworks, API integrations, and cloud technologies, along with a passion for building scalable AI-driven systems.

Key Responsibilities:

  • Design, develop, and implement AI/ML solutions using Python.
  • Build and optimize machine learning and deep learning models.
  • Develop scalable backend services and APIs for AI applications.
  • Work with structured and unstructured data for model training and analysis.
  • Integrate AI models with enterprise applications and cloud platforms.
  • Collaborate with cross-functional teams including Data Engineers, DevOps, and Business stakeholders.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Monitor, troubleshoot, and improve model performance in production environments.
  • Implement automation workflows and AI-powered tools.
  • Maintain code quality, documentation, and best development practices.

Required Skills:

  • Strong experience in Python development.
  • Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or Hugging Face.
  • Knowledge of Generative AI, LLMs, NLP, or Computer Vision concepts.
  • Experience with REST APIs, FastAPI, Flask, or Django.
  • Hands-on experience with data processing libraries like Pandas, NumPy, and PySpark.
  • Familiarity with vector databases, embeddings, and RAG architecture is a plus.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of Docker, Kubernetes, CI/CD pipelines, and Git.
  • Understanding of SQL/NoSQL databases.
  • Strong problem-solving and analytical skills.