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Machine Learning Consultant Jobs (NOW HIRING)

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 ...

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How much do machine learning consultant jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for machine learning consultant in the United States is $60.40, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $83.17 per hour, depending on experience, location, and employer.

What does a Machine Learning Consultant do?

A Machine Learning Consultant helps businesses implement AI and machine learning solutions to improve decision-making, automate processes, and enhance efficiency. They analyze data, develop models, and provide strategic recommendations tailored to a company's needs. Their role often involves working with engineers, data scientists, and stakeholders to integrate machine learning into existing systems.

What does a machine learning consultant do?

A machine learning consultant designs, develops, and implements machine learning models to solve business problems. They analyze data, select appropriate algorithms, and use tools like Python or R to create predictive systems, often working closely with data scientists and engineers. Their role involves understanding client needs, optimizing models, and ensuring deployment and performance of machine learning solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Consultant position, and why are they important?

To thrive as a Machine Learning Consultant, you need strong expertise in machine learning algorithms, data analysis, and programming skills—typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud platforms, as well as relevant certifications like AWS Certified Machine Learning or TensorFlow Developer, are highly beneficial. Excellent communication, problem-solving, and project management skills help consultants translate complex technical concepts for clients and efficiently drive projects. These skills and qualities are crucial for delivering effective machine learning solutions that address business needs and foster client trust.

How much does a machine learning consultant make?

A machine learning consultant's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior consultants with specialized skills in data modeling and programming can earn higher salaries, especially when working with advanced tools like Python, TensorFlow, or cloud platforms.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle certain tasks, MLEs are essential for creating complex, customized solutions and maintaining AI systems. The role is evolving with advancements in AI, but human expertise remains critical for innovation, troubleshooting, and ethical considerations.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors with extensive experience and specialized skills. These positions often involve leadership, strategic decision-making, and advanced expertise in AI tools and frameworks, and they usually require advanced degrees and certifications. Compensation at this level reflects significant responsibility and impact within organizations focused on AI development and deployment.

What does a typical project look like for a Machine Learning Consultant?

As a Machine Learning Consultant, your projects often begin with collaborating closely with clients to understand their data challenges and business goals. You might be tasked with activities such as setting up data pipelines, selecting and training machine learning models, and presenting actionable insights. Projects can vary in length and scope, ranging from short-term advisory engagements to long-term implementations, and often involve teamwork with data engineers, business analysts, and IT departments. This dynamic environment means you need to balance hands-on technical work with client-facing responsibilities, ensuring successful delivery and measurable impact.

More about Machine Learning Consultant jobs
What cities are hiring for Machine Learning Consultant jobs? Cities with the most Machine Learning Consultant job openings:
What are the most commonly searched types of Machine Learning Consultant jobs? The most popular types of Machine Learning Consultant jobs are:
Who are the top companies hiring for Machine Learning Consultant jobs? The top employers for Machine Learning Consultant jobs are:
What states have the most Machine Learning Consultant jobs? States with the most job openings for Machine Learning Consultant jobs include:
Machine Learning/AI Engineer

Machine Learning/AI Engineer

Adidev Technologies Inc

Albany, NY • Remote

Full-time

Re-posted 21 days ago


Job description

Role: Machine Learning/AI Engineers

(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)

Summary:

 Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.

About Adidev Technologies Inc.  

Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.

 

Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.

Global Presence: Our diverse employee workforce spans four continents.

Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.

How We'll Guide You

Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.

Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.

Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.

Career Growth: We facilitate industry experience to propel your technical journey forward.

 

Key Responsibilities:

·        Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.

·        Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.

·        Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

·        Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.

·        Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.

·        Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.

·        Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.

·        Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.

·        Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.

 

What You’ll Bring

 

 Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.

Software engineering and/or Data Engineering background, especially in one of the major clouds.

Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks

Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. 

How to Apply:

Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.

Perks and Beyond! 

Competitive salary range: Based on experience and market value

Pack your bags! Paid relocation is on us.

Support, even from afar, with our remote assistance.

Regular salary reviews? You betcha!

Ready to Embark? 

 we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects.  At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.

Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life.  Your unique perspective could be the catalyst for our next revolutionary breakthrough

Employment Type: FULL_TIME