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Machine Learning Consultant information

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 analyzes data and develops algorithms to solve complex problems using machine learning techniques. They design, implement, and optimize models often using tools like Python, R, or TensorFlow, and communicate findings to stakeholders to support data-driven decision-making.

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 languages like Python or R can earn higher salaries, especially when working on complex projects or in high-demand markets.

Which 5 jobs will survive AI?

Machine Learning Consultants are likely to continue to find demand as AI advances, especially in roles requiring specialized expertise in designing, implementing, and managing AI systems. Jobs that involve complex problem-solving, creativity, emotional intelligence, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial roles—are also expected to persist despite AI automation. These roles often require nuanced judgment and interpersonal skills that AI cannot easily replicate.

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.

Can I learn ML in 3 months?

A Machine Learning Consultant typically requires a strong foundation in programming, mathematics, and data analysis. While it is possible to acquire basic knowledge of machine learning concepts in three months with intensive study, developing the skills needed for a professional role usually takes longer and involves hands-on experience with tools like Python, TensorFlow, or scikit-learn.
What are the most commonly searched types of Machine Learning Consultant jobs in California? The most popular types of Machine Learning Consultant jobs in California are:
What are popular job titles related to Machine Learning Consultant jobs in California? For Machine Learning Consultant jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Consultant jobs in California look for? The top searched job categories for Machine Learning Consultant jobs in California are:
What cities in California are hiring for Machine Learning Consultant jobs? Cities in California with the most Machine Learning Consultant job openings:
Machine Learning Consultant jobs near you
Infographic showing various Machine Learning Consultant job openings in California as of June 2026, with employment types broken down into 84% Full Time, 11% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Machine Learning Expert

Machine Learning Expert

Adidev Technologies Inc

Palo Alto, CA • On-site

Full-time

Posted 14 days ago

Job description

Role  - Machine Learning Expert 

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

 

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 premier client.

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.


Requirements:

  • Degree in Computer Science, Engineering, Statistics, or a related technical field.

  • Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.

  • Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.

  • Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.

  • Strong foundational understanding of algorithmic complexity and data structure optimization.

  • Excellent problem-solving, collaboration, and communication abilities.

  • Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.

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

  • Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.

  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).

  • Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.

  • Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.

  • Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.

  • Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.


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.

We provide 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

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