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Ai Ml Data Science Engineer Jobs (NOW HIRING)

Master's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ... Strong programming skills and experience in software engineering, particularly in developing ...

AI/ML Engineer/Developer Reports To: Management FLSA Status: Full Time/Exempt Apavo is at the ... Partner with Data Scientists, Machine Learning Engineers, Architects, Cybersecurity teams, and ...

Required Qualifications • PhD in Computer Science, Data Science, Statistics, Mathematics ... AI/ML and Data Science. • Strong proficiency in Python. • Strong expertise in Artificial ...

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. * 3+ years of progressive experience in AI/ML, data science, or advanced analytics, with a proven track ...

Data Science Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Responsibilities : • designing ETL processes • implementing AI/ML algorithms in production • ... engineering, software engineering, or data science roles. • Experience with SQL and NoSQL ...

Showing results 21-40

Ai Ml Data Science Engineer information

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$44.5K

$129.7K

$177.5K

How much do ai ml data science engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai ml data science engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Ai Ml Data Science Engineer vs Data Analyst?

AspectAi Ml Data Science EngineerData Analyst
Required SkillsMachine learning, programming (Python, R), statistical analysis, data modelingData visualization, SQL, basic statistics, Excel
Work EnvironmentDeveloping algorithms, building predictive models, deploying ML solutionsInterpreting data, generating reports, supporting decision-making
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

While both roles analyze data, Ai Ml Data Science Engineers focus on creating machine learning models and algorithms, whereas Data Analysts primarily interpret data and generate insights through visualization and reporting. The former requires programming and statistical skills, often involving complex modeling, while the latter emphasizes data interpretation and communication skills.

What cities are hiring for Ai Ml Data Science Engineer jobs?

Cities with the most Ai Ml Data Science Engineer job openings:

What states have the most Ai Ml Data Science Engineer jobs?

States with the most job openings for Ai Ml Data Science Engineer jobs include:

What are popular job titles related to Ai Ml Data Science Engineer jobs?

For Ai Ml Data Science Engineer jobs, the most frequently searched job titles are:

Infographic showing various Ai Ml Data Science Engineer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI/ML Engineer

Jersey City, NJ • On-site

ExlService Holdings, Inc.
IT Services • 10K+ employees

Full-time

Posted 8 days ago


ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

140th of 501 rated business services


Job description


We have requirement for 1 Senior Data Scientist / AI-ML Engineer and are looking for candidates with 6+ years of relevant experience
Base Compensation Range: 100,000 - 140,000
The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
Responsibilities
Key Requirements
  • Strong hands-on expertise in AI/ML, Data Science, Python, SQL, and Git/GitHub.
  • Proven experience building end-to-end data science and predictive modeling solutions, from problem definition through deployment.
  • Strong understanding of Property & Casualty (P&C) Insurance business processes.
  • Ability to translate complex business challenges into practical AI/ML and analytical solutions.
  • Strong focus on business outcomes and measurable impact, beyond model development.
  • Experience applying AI/ML solutions in areas such as:
    • Pricing
    • Risk Segmentation
    • Underwriting Decision Support
    • Forecasting
    • Operational Optimization
  • Strong GitHub and software engineering practices including:
    • Version Control
    • Code Reviews
    • Documentation
    • Testing
    • Reusable Code Development
  • Excellent communication skills with the ability to present technical concepts to business and non-technical stakeholders.
  • Ability to work as a senior independent contributor, driving initiatives end-to-end with minimal support.
  • Experience leading:
    • Business Discovery
    • Data Assessment
    • Model Development & Validation
    • Deployment

User Adoption
Qualifications
Bachelor's in Computer science, engineering or any related field

What ExlService Holdings employees say

Pay

Hours and flexibility

Workplace

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