Machine Learning Engineer jobs in United States
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Dexian · 11 hours ago

Machine Learning Engineer

Dexian stands at the forefront of Talent + Technology solutions, and they are seeking a Senior-level ML Engineer. The role involves designing, building, and deploying machine learning models, collaborating with product managers and business stakeholders, and monitoring model performance to drive business outcomes.

ConsultingHuman ResourcesInformation TechnologyProfessional ServicesStaffing Agency
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H1B Sponsor Likelynote

Responsibilities

Design, build, and deploy machine learning models that learn dealership data transmission patterns
Develop models to detect:
Missing or delayed data feeds
Unexpected drops or spikes in transaction volumes
Deviations from historical trends (e.g., expected vs actual counts)
Leverage cloud-native ML tooling, prioritizing off-the-shelf and managed services (not building models from scratch)
Partner with product managers and business stakeholders to:
Understand problem statements
Translate business concerns into ML solutions
Define success metrics
Implement ML workflows using:
Python
SQL / BigQuery
Cloud-based data and ML services
Collaborate with backend engineers to integrate ML outputs into APIs and platform services
Monitor model performance and data behavior to distinguish:
Real business signals
Upstream data or calculation issues
Contribute hands-on while also helping organize and guide ML-related work across the team
Support junior engineers and help upskill team members where appropriate

Qualification

Machine LearningPythonSQLCloud ML platformsData analysisAnomaly detectionGCP certificationTime-series dataJava-based backend systemsML monitoring

Required

Design, build, and deploy machine learning models that learn dealership data transmission patterns
Develop models to detect: Missing or delayed data feeds, Unexpected drops or spikes in transaction volumes, Deviations from historical trends (e.g., expected vs actual counts)
Leverage cloud-native ML tooling, prioritizing off-the-shelf and managed services (not building models from scratch)
Partner with product managers and business stakeholders to understand problem statements, translate business concerns into ML solutions, define success metrics
Implement ML workflows using: Python, SQL / BigQuery, cloud-based data and ML services
Collaborate with backend engineers to integrate ML outputs into APIs and platform services
Monitor model performance and data behavior to distinguish: real business signals, upstream data or calculation issues
Contribute hands-on while also helping organize and guide ML-related work across the team
Support junior engineers and help upskill team members where appropriate
Must have: Machine Learning (production, applied), Python, SQL, Cloud ML platforms (GCP / AWS / Azure), Data analysis & anomaly detection

Preferred

Hands-on experience with Google Cloud Platform
Experience using pre-built or managed ML models (vs custom research models)
BigQuery experience
Experience with anomaly detection, trend analysis, or forecasting use cases
Prior experience in large enterprise or platform teams
Experience with: ML monitoring and model performance tracking, Time-series data, Data quality or anomaly detection use cases, Exposure to dealership, automotive, or transaction-based platforms, Some exposure to Java-based backend systems, GCP certification

Company

Dexian provides services for staffing, talent development, and consulting, with a focus on technology, finance, and project management.

H1B Sponsorship

Dexian has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (65)

Funding

Current Stage
Late Stage

Leadership Team

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Mahfuz Ahmed
Chairman of the Board
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Vikram Motiani
Managing Director
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Company data provided by crunchbase