AI/ML Engineer | Remote

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

AI/ML Engineer | Mid & SeniorB2B contractLocation: Romania / Bulgaria / Poland - 100% Remote

Our client is a leading automotive and mobility organization operating a large dealer and service network across multiple business domains. The company is investing heavily in Artificial Intelligence and Generative AI to improve operational efficiency, customer experience, document processing, and decision-making capabilities. As part of its AI transformation journey, the client is building an AI Factory responsible for delivering scalable, production-ready AI solutions across the organization.

Project Description

The AI Factory is responsible for the end-to-end delivery of AI and Generative AI solutions, covering the entire lifecycle from ideation to production operations. The successful candidate will contribute to the design, development, deployment, and continuous improvement of AI-powered products supporting dealer operations, back-office processes, document processing, decision-support systems, and intelligent data platforms.

Key Responsibilities

• Design and develop machine learning solutions aligned with business objectives.
• Build and train ML models for document intelligence, predictive analytics, recommendation systems, and decision-support use cases.
• Own the ML lifecycle, including: data preparation, feature engineering, model training, evaluation, deployment, monitoring, retraining.
• Collaborate with business stakeholders during AI use case definition and technical design phases.
• Work closely with Data Engineers, MLOps Engineers, and Solution Architects to ensure production-ready solutions.
• Contribute to AI governance and compliance activities, including AI Act requirements, transparency mechanisms, technical documentation, and event logging.
• Support knowledge sharing and capability building within the client's internal AI and Automation teams.

Technical Requirements (must have)

• Strong Python programming skills.
• Hands-on experience with machine learning frameworks: PyTorch and/or TensorFlow, scikit-learn.
• Experience building and deploying machine learning models in production environments.
• Understanding of model evaluation, experimentation, and performance monitoring.
• Experience with ML lifecycle management tools such as MLflow.
• Experience with cloud-based ML platforms (Azure ML preferred; Vertex AI or AWS SageMaker also acceptable).
• Familiarity with CI/CD concepts and MLOps practices.
• Experience working with structured and unstructured data.
• Understanding of AI governance, model documentation, and responsible AI principles.
• Experience collaborating within cross-functional agile teams.
• Strong analytical and problem-solving skills.
• Effective communication skills and ability to work directly with business stakeholders.

Nice to Have

• Experience with GenAI solutions and LLM-based applications.
• Experience with vector databases and embedding models.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Experience with document intelligence and OCR solutions.
• Knowledge of Azure OpenAI services.
• Experience in automotive, mobility, retail, or dealer-network environments.
• Familiarity with deployment strategies such as blue/green, canary, rolling, or shadow deployments.
• Experience supporting AI systems in regulated environments.

Soft Skills

• Ownership mindset.
• Ability to translate business needs into technical solutions.
• Collaborative approach and strong stakeholder management skills.
• Knowledge-sharing attitude.
• Continuous learning mindset.

English Language Skills B2C1C2

Benefits

• Stable long-term cooperation with opportunity for extension.
• Opportunity to work with modern technologies in an international environment.
• Professional growth and continuous development opportunities.
• Participation in challenging and impactful projects.