Gen AI Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Gen AI Engineer In the assigned Job Role of Data Science Consultant 1, your Area Of Responsibility will be as below: • Participate in data extraction, transformation, and preparation. • Resolve common data issues and ensure quality for model development. • Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts. • Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics. • Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python. • Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support. • Identify data sources and extract from RDBMS and develop UI/UX for client usage. • Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages. • Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility. • Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively. • Apply predefined quality measurement frameworks, if any, to individual project tasks. • Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements. Your contribution to the team: • Strong analytical and problem-solving mindset with hands-on model development skills. • Ability to translate business needs into actionable analytics solutions. • Focus

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