Remote AI/ML Engineer — Production-ready GenAI & Docs

DCV Technologies; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Stable long-term cooperation

International environment with modern技

Professional growth opportunities

Challenging, impactful projects

Job summary

DCV Technologies is seeking an AI/ML Engineer (Mid & Senior) for a B2B contract role. The position is 100% remote with international scope across Europe, targeting cross-domain automotive and mobility AI initiatives.

You will design and deploy ML solutions, collaborate with data engineers and solution architects, own the ML lifecycle, ensure governance, and contribute to production-grade AI in dealer networks and back-office processes.

Qualifications

• Strong Python programming skills.
• Hands-on experience with ML frameworks: PyTorch, TensorFlow, scikit-learn.
• Experience deploying ML models in production environments.
• Experience with ML lifecycle tools like MLflow.
• Familiarity with CI/CD and MLOps practices.
• Experience with structured and unstructured data.
• Knowledge of AI governance and responsible AI principles.

Responsibilities

• Design and develop ML solutions aligned with business objectives.
• Build and train models for document intelligence, predictive analytics, and decision-support use cases.
• Own the ML lifecycle from data prep to deployment and monitoring.
• Collaborate with stakeholders during use case definition and design phases.
• Work with Data Engineers, MLOps Engineers, and Solution Architects to deliver production-ready solutions.
• Support AI governance, documentation, and event logging.

Skills

Python

PyTorch

TensorFlow

scikit-learn

MLflow

Azure ML

Vertex AI

SageMaker

MLOps

CI/CD

Data wrangling

Communication

Tools

Azure OpenAI services

Vector databases

OCR solutions

RAG architectures

Job description

DCV Technologies is seeking an AI/ML Engineer (Mid & Senior) for a B2B contract role. The position is 100% remote with international scope across Europe, targeting cross-domain automotive and mobility AI initiatives.

You will design and deploy ML solutions, collaborate with data engineers and solution architects, own the ML lifecycle, ensure governance, and contribute to production-grade AI in dealer networks and back-office processes.