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Ml Net Jobs (NOW HIRING)

Inference

Machine Learning Researcher

San Francisco, CA · On-site

$250K - $350K/yr

About Inference.net Inference.net trains and hosts specialized language models for companies who ... Stay current with ML research and identify techniques that can improve our platform * Collaborate ...

Liftoff

Staff Product Manager, Conversion ML

OR · On-site +1

As a Conversion ML PM at Liftoff, you will play a pivotal role in shaping our product strategy for our neural-net powered machine learning system, Cortex, which is built to predict users' responses ...

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 ... net models on our custom-built Amazon hardware. More specifically, the Amazon Neuron team is ...

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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.

Sr . AI Architect (AI/ML/NLP/Solutioning)

Futran Tech Solutions Pvt. Ltd.

Jersey City, NJ • On-site

Full-time

Re-posted 23 days ago

Job description

Role : Sr . AI Architect (AI/ML/NLP/Solutioning)
Location : NewJersey, NJ (Day 1 onsite)
Mandatory Skills
Machine learning algorithms, natural language processing.
AI platforms such as AWS, Azure, or Google Cloud.
Custom Entity Recognition, custom embeddings, transformer models like BERT, GPT, T5 etc.
ML frameworks like TensorFlow, PyTorch, Mx NET, Caffe and Keras.
Develop & deploy production grade NLP & ML models is a must
Job Description :
  • This job requires candidates to interface with customer and negotiate demands. As an AI Architect in a customer-facing role, candidate will be responsible for designing and implementing artificial intelligence solutions for customers, ensuring that they meet their business objectives and deliver tangible value.
  • Candidate should have a product mindset and need to work closely with customers to understand their requirements and Design/Architect and Develop solution that leverage AI technologies, such as machine learning, natural language processing, and computer vision.
  • Work closely with cross-functional teams, including product managers, data scientists, and engineers both offshore and onshore, to ensure that solutions are delivered on time and to the highest quality standards. The candidate should lay product roadmaps and represent team in onshore connects.
  • Candidate is expected to explore & implement latest technologies & algorithms wherever applicable. Responsibility also involves architecting AI Platform capabilities.

Responsibilities:
  • Collaborate with customers to understand their business needs and ideate/Design/Architect and develop AI solutions that meet their requirements.
  • Create and deliver presentations and demonstrations to customers, showcasing the benefits and value of AI solutions.
  • Provide technical leadership and guidance to cross-functional teams, including data scientists and engineers, to ensure that AI solutions are delivered on time and to the highest quality standards.
  • Work with product managers and engineers to integrate AI solutions into customer-facing products and services.
  • Stay up-to-date with the latest AI technologies and techniques, and share knowledge with internal and external stakeholders.
  • Actively engage with customers to identify new business opportunities and provide guidance on AI strategy and implementation.
  • Design and implement AI solutions, including machine learning models, natural language processing systems, and computer vision applications.
  • Develop data pipelines, feature engineering processes, and data validation processes to ensure high-quality inputs for AI models.

Skills : (Minimum 12+ years in IT )
  • Strong understanding of machine learning algorithms, natural language processing, and computer vision.
  • Proficient in programming languages such as Python
  • Experience with cloud-based AI platforms such as AWS, Azure, or Google Cloud.
  • Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Ability to work independently and as part of a cross-functional team.
  • Strong problem-solving and analytical skills.
  • Proven track record of delivering high-quality AI solutions to customers.
  • Strong customer focus and a passion for delivering value through AI solutions.
  • Strong experience of custom Entity Recognition, custom embeddings, transformer models like BERT, GPT, T5 etc.
  • Experience on Question Answering systems, text summarization, knowledge graphs is must
  • Hands on experience working on noisy text like OCR, Speech to Text, Scene text
  • Experience working on language detection, mix languages would be added advantage.
  • Should have created/worked on data labelling tools, frameworks, and strategies.
  • Hands-on experience using ML frameworks like Tensorflow, PyTorch, MxNET, Caffe and Keras.
  • Use of Spacy, NLTK, Gloves, RegEx etc is expected as well.
  • Experience to develop & deploy production grade NLP & ML models is a must.
  • Experience in Agile based development methodology.

Apply