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54 Dataiku Machine Learning Engineer Jobs Hiring Near You

Dataiku

Senior Data Scientist, West

$170K - $190K/yr

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying ... In a single environment, teams design and operate analytics, machine learning, and AI agents with ...

Dataiku

Senior Data Scientist, West

Manhattan, NY

$170K - $190K/yr

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying ... In a single environment, teams design and operate analytics, machine learning, and AI agents with ...

Dataiku

Enterprise Account Manager (AE Role)

New York, NY · On-site

$115K - $125K/yr

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying ... In a single environment, teams design and operate analytics, machine learning, and AI agents with ...

Dataiku

Strategic Account Executive - West

$148K - $185K/yr

In a single environment, teams design and operate analytics, machine learning, and AI agents with ... management, and sales engineering. Together, you'll showcase the business value of Dataiku ...

Dataiku

Enterprise Account Executive

Boston, MA

$290 - $300/wk

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying ... In a single environment, teams design and operate analytics, machine learning, and AI agents with ...

Dataiku

Enterprise Account Executive

Philadelphia, PA

$290 - $300/wk

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying ... In a single environment, teams design and operate analytics, machine learning, and AI agents with ...

Dataiku

Competitive Intelligence Manager

Denver, CO

$150K - $200K/yr

In a single environment, teams design and operate analytics, machine learning, and AI agents with ... Dataiku is seeking a strategic, analytical, and action-focused competitive analyst to join our ...

Dataiku

Strategic Account Executive - Southeast

$150K - $165K/yr

In a single environment, teams design and operate analytics, machine learning, and AI agents with ... management, and sales engineering. Together, you'll showcase the business value of Dataiku ...

Dataiku

Competitive Intelligence Manager

Manhattan, NY · On-site

$150K - $200K/yr

In a single environment, teams design and operate analytics, machine learning, and AI agents with ... Dataiku is seeking a strategic, analytical, and action-focused competitive analyst to join our ...

Dataiku

Enterprise Account Executive

Portland, ME

$290 - $300/wk

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying ... In a single environment, teams design and operate analytics, machine learning, and AI agents with ...

Dataiku

Competitive Intelligence Manager

Manhattan, NY

$150K - $200K/yr

In a single environment, teams design and operate analytics, machine learning, and AI agents with ... Dataiku is seeking a strategic, analytical, and action-focused competitive analyst to join our ...

Dataiku

VP, Reasoning Systems

Manhattan, NY

In a single environment, teams design and operate analytics, machine learning, and AI agents with ... in Dataiku data science, AI Engineering, and Software Engineering teams to build the best product ...

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Dataiku Jobs Information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What other companies are hiring for Machine Learning Engineer jobs?
What are the most popular jobs at Dataiku?
Infographic showing various Machine Learning Engineer job openings at Dataiku in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 40% Physical, and 60% Remote job distribution.
Strategic Account Executive - West

Strategic Account Executive - West

Dataiku

Manhattan, NY

$148K - $185K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.
The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

Dataiku is looking for an experienced Strategic Account Executive to join our team. Since the launch of our company, we have experienced healthy growth and steady market demand. This is an individual contributor position, newly added due to business expansion.

We're looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku.

As a Strategic Account Executive at Dataiku, you'll be responsible for managing the entire sales cycle and own a territory with prospects and customers across a variety of industries. We embrace a culture of accountable camaraderie, and this role will enable you to collaborate cross-functionally with colleagues in marketing, product management, and sales engineering. Together, you'll showcase the business value of Dataiku's platform, DSS.

What you'll need to be successful -

  • 10+ years experience in software field sales
  • Strong belief in a customer centric selling philosophy and applying a consultative approach in customer interactions
  • Background in selling innovation and new concepts to large Enterprises
  • Strong ability to develop a vision match with prospects and customers, to develop alignment across different groups and cultivate champions
  • Good articulation of competitive positioning
  • Comfortable traveling 30 to 50%
  • Desired Skills Experience in 'data' - big data, analytics, data science, BI/DW, data integration
  • Early start-up experience is a plus!

#LI-LP1

Compensation and Benefits

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.

Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.

US only national base pay ranges
$148,000—$185,000 USD
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our Dataiku LinkedIn page.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com
Protect yourself from fraudulent recruitment activity
Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activityhere.

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