Senior/Lead Computer Vision Engineer

Jobtailor; Paris; Sur place; EUR 100 000 - 150 000; Plein temps

Résumé du poste

Jobtailor seeks a senior AI engineer specializing in computer vision and generative AI to lead end-to-end development from research to production deployment. You will design scalable, production-grade inference pipelines and benchmark state-of-the-art methods against real-world use cases.

We value strong Python and PyTorch skills, experience with diffusion architectures, and the ability to align technical work with business goals. English fluency is required for collaboration across teams.

Qualifications

• Master’s or PhD in Computer Science, ML, CV, or related field.
• 6+ years of industry experience in AI, ML, or computer vision.
• Strong Python programming skills.
• Deep expertise in PyTorch.
• Experience with diffusion models and generative AI.
• Proven ability to take AI systems from concept to production, including deployment, monitoring, and continuous improvement.
• Fluency in written and spoken English.

Responsabilités

• Own computer vision and generative AI features end to end, from research and prototyping to staging and production deployment.
• Evaluate state-of-the-art computer vision and generative AI technologies using rigorous benchmarks based on real-world use cases
• Design, implement, and optimize production-grade pipelines focused on inference performance, scalability, reliability, and cost efficiency
• Share technical context, processes, resources, and best practices with the team
• Collaborate with software engineers, product managers, and stakeholders to integrate AI solutions into customer-facing products
• Assess the maturity and business relevance of advances in computer vision, machine learning, and generative AI
• Contribute to technical decisions balancing image quality, robustness, performance, and commercial constraints
• Write technical documentation covering system design, model behavior, evaluation methods, and operational considerations
• Support the team through knowledge sharing, technical guidance, and mentoring
• Participate in research, technical interviews, live coding assessment, and reference checks as part of the hiring process

Connaissances

Python

PyTorch

Computer Vision

Generative AI

Deep Learning

Image Processing

Segmentation

Detection

Diffusion Models

Production Deployment

Formation

Master’s or PhD in Computer Science, ML, CV

Outils

PyTorch

Diffusion Architectures

Description du poste

• Own computer vision and generative AI features end to end, from research and prototyping to staging and production deployment
• Evaluate state-of-the-art computer vision and generative AI technologies using rigorous benchmarks based on real-world use cases
• Design, implement, and optimize production-grade pipelines focused on inference performance, scalability, reliability, and cost efficiency
• Share technical context, processes, resources, and best practices with the team
• Collaborate with software engineers, product managers, and stakeholders to integrate AI solutions into customer-facing products
• Assess the maturity and business relevance of advances in computer vision, machine learning, and generative AI
• Contribute to technical decisions balancing image quality, robustness, performance, and commercial constraints
• Write technical documentation covering system design, model behavior, evaluation methods, and operational considerations
• Support the team through knowledge sharing, technical guidance, and mentoring
• Participate in research, technical interviews, live coding assessment, and reference checks as part of the hiring process

Requirements

• Master’s or PhD in Computer Science, Machine Learning, Computer Vision, or a related field
• At least 6 years of industry experience in AI, machine learning, or computer vision
• Strong programming skills in Python
• Deep expertise in PyTorch
• Experience with classical image and signal processing
• Experience with deep learning-based perception models, including segmentation, detection, and refinement
• Experience with generative models, including diffusion architectures
• Proven ability to take AI systems from concept to production, including deployment, monitoring, and continuous improvement
• Strong analytical and communication skills
• Ability to align technical decisions with business priorities and constraints
• High degree of ownership, autonomy, and pragmatism
• Results-driven mindset suited to a fast-moving and competitive environment
• Fluency in written and spoken English

Core Competencies

Demonstrates expertise in Computer Vision and Generative AI, with a strong focus on deploying production-grade AI systems and optimizing performance. Proven ability to collaborate effectively with cross-functional teams and mentor others while aligning technical solutions with business objectives.

Highest-signal resume keywords

• Master’s Or PhD In Computer Science
• Deep Expertise In PyTorch
• Strong Programming Skills In Python
• Experience With Generative Models
• Proven Ability To Take AI Systems From Concept To Production

Hard Skills

• Computer Vision
• Generative AI
• Machine Learning
• Deep Learning-Based Perception Models
• Classical Image Processing
• Segmentation
• Detection
• Refinement
• Diffusion Architectures
• Production-Grade Pipelines

Soft Skills

• Strong Analytical Skills
• Communication Skills
• High Degree Of Ownership
• Results-Driven Mindset
• Ability To Align Technical Decisions With Business Priorities

Industry Keywords

• AI
• Image Quality
• Robustness
• Performance
• Cost Efficiency
• Technical Documentation
• Knowledge Sharing
• Technical Guidance
• Mentoring
• Continuous Improvement