Senior Data & AI Engineer

Daimler Truck North America

. Build, prove out, and enable AI, ML, and automation solutions across DTNA .

Posted 10/26/2026full-timeUnited StatesSenior💰 $117,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Python and SQL, with hands-on experience in building and deploying AI/ML and automation solutions. Capable of translating business objectives into production-ready solutions while fostering a collaborative data and AI community.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyAI/ML Solution DevelopmentCloud Data Platforms (Snowflake)DevOps Practices (CI/CD, GitHub)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solution DevelopmentMachine LearningStatistical MethodsData ModelingETL ProcessesAPI IntegrationAutomated TestingContinuous IntegrationProduction Code ReviewSanity Checking AI Output

Soft Skills

CoachingCollaborationTechnical ConsultationKnowledge SharingCommunication

Tools & Technologies

SnowflakeGitHubCI/CD PipelinesConversational AI ToolsData Intelligence Hub

Certifications & Qualifications

Data Science CertificationMLOps Certification

Industry Keywords

AutomationData AnalyticsContinuous ImprovementBusiness IntelligenceGovernance

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Build, prove out, and enable AI, ML, and automation solutions across DTNA
Co-develop solutions with business teams so they can own, enhance, and sustain them
Translate business objectives into working solutions and rapid proofs of concept
Take prototypes to governed, production-ready solutions with IT, the Data Intelligence Hub, and business-embedded data teams
Apply continuous integration and delivery pipelines, automated testing, and documentation
Build reusable solution patterns connecting business data to conversational AI tools
Develop and share best practices for data, analytics, automation, and AI across DTNA
Support Continuous Improvement colleagues in developing data, analytics, automation, and AI solutions
Serve as a technical reference for BDAT and across DTNA
Evaluate, pilot, and integrate self-service analytics, automation, and AI tools and platforms
Work with IT and platform teams on data connections, APIs, access, governance, cost transparency, and auditing
Track emerging data and AI trends and recommend what DTNA should adopt
Lead hands-on coaching and co-development engagements across business units
Provide technical consultation for business challenges
Mentor junior team members and data community practitioners
Advise senior leadership, IT, the AI Center of Excellence, and the enterprise data community
Recommend the appropriate AI/ML, automation, analytics, or BI approach for each use case
Identify opportunities to apply data, analytics, and AI to strategic initiatives
Foster a data and AI community through knowledge sharing and best practices
Participate in DT Week, workshops, and hackathons

Requirements

What you’ll need

Bachelor's degree and 5+ years of relevant experience, or 8 years of relevant experience in lieu of a degree
Advanced proficiency in Python and SQL
Ability to write, review, test, and productionize code
Ability to sanity-check AI-generated output
Experience designing, building, and deploying AI/ML, automation, or data solutions beyond the prototype stage and into production
Hands-on experience building with LLMs and agentic approaches
Strong grounding in machine learning and statistical methods
Hands-on experience with cloud data platforms such as Snowflake, including data modeling, ETL, and API integrations
Working knowledge of DevOps practices, including GitHub, automated testing, and CI/CD pipelines
Ability to coach and co-develop with teams at all organizational levels
Ability to translate between business and technical audiences, including executives
Final candidate must successfully complete a criminal background check
Final candidate may be required to successfully complete a pre-employment drug screen
Applicants must be legally authorized to work permanently in the country the position is located in
No visa sponsorship or existing visa holders
Exceptional candidates might have a degree in Business, Mathematics, Computer Science, Statistics, Analytics, or a related quantitative field
Exceptional candidates might have a master's degree in a quantitative field or a Data Science certification
Exceptional candidates might have MLOps, governance, cost management, training, BI, automation, continuous improvement, or industry experience

Benefits

Comp & perks

Annual bonus program
401k company contribution with company match up to 6%
Non-elective company contribution of 3–7% depending on age
Starting at 4 weeks paid vacation
13+ calendar holidays
8 weeks paid parental leave
Employee assistance program
Comprehensive healthcare plans
Wellness programs
Onsite fitness at some locations
Tuition assistance
Volunteer paid time off
Short-term and long-term disability plans
Relocation assistance is not available