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La Forge

La Forge

www.la-forge.ai

2 Jobs

26 Employees

About the Company

From idea to launch, we push the boundaries of design and development to create products that change lives.

Listed Jobs

Company background Company brand
Company Name
La Forge
Job Title
Ingénieur.e Data & IA
Job Description
**Job Title**: Data & AI Engineer **Role Summary**: Develop and deploy AI products using scalable architectures and Lean Startup principles, focusing on technical feasibility, product integration, and operational scalability across cross-functional teams. **Expectations**: - Deliver AI solutions that align with measurable business impact. - Support clients in evaluating technical feasibility and refining product requirements. - Collaborate with product managers, UX designers, and domain experts to shape scalable AI products. **Key Responsibilities**: 1. Design and implement critical technical components (ML pipelines, APIs, integrations) for AI products. 2. Architect scalable, maintainable AI systems and validate technical decisions against client constraints. 3. Operationalize AI projects via API deployment, MLOps frameworks, and model performance monitoring. 4. Optimize costs, security, and adoption metrics for production systems. 5. Prioritize product value through rapid, iterative cycles of development and validation. **Required Skills**: - **Technical**: Advanced Python (PyTorch, LangChain), SQL, MLOps (Airflow/Prefect), ML/Deep Learning (NLP, CV, time series), cloud platforms (AWS/GCP/Azure). - **Operational**: Docker, CI/CD pipelines, model deployment, system agent development. - **Analytical**: Data transformation (dbt), technical feasibility evaluation, cross-domain collaboration. - **Communication**: Simplify complex technical concepts for non-technical stakeholders. **Required Education & Certifications**: - Minimum 5 years’ experience in Data Engineering, Data Science, or equivalent roles. - Bachelor’s/Master’s degree in Engineering, Computer Science, or related field (Bac +5). --- *Output adheres to ATS-friendly formatting, global neutrality, and eliminates non-essential details (location, benefits, company-specific anecdotes).*
Rouen, France
Hybrid
Mid level
12-02-2026
Company background Company brand
Company Name
La Forge
Job Title
Architecte Senior – Expert Data & IA
Job Description
**Job title** Senior Architect – Data & AI **Role Summary** Design, develop and operate production‑grade AI systems at scale, guiding technical architecture, pipeline development, and product feasibility. Lead cross‑functional teams, balance technical debt with rapid delivery, and collaborate with clients to align solutions with business goals. **Expectations** - 7+ years in software development, 3+ as tech lead or architect. - Proven experience building and maintaining production AI product architectures. - Hands‑on coding, mentorship of developers, and ownership of critical components. - Entrepreneurial mindset, lean‑startup approach, and client‑focused communication. **Key Responsibilities** - Architect scalable, maintainable AI solutions (ML pipelines, APIs, integrations). - Evaluate technical feasibility, challenge specifications, and manage technical debt. - Lead and mentor development teams, ensuring best‑practice implementation. - Make technology choices aligned with client constraints and business value. - Participate in product decisions from a technical perspective. - Collaborate with clients to understand constraints and translate requirements into architecture. **Required Skills** - Python with ML/DL ecosystem (PyTorch/TensorFlow, serving). - Databases: SQL (Postgres), NoSQL (MongoDB), vector databases. - Cloud platforms (OVH, AWS, GCP, Azure), Docker, CI/CD pipelines. - AI patterns: Retrieval‑Augmented Generation (RAG), fine‑tuning, evaluation, ML‑Ops, drift management. - Pragmatic optimization, hands‑on coding, and ability to “good‑enough” when appropriate. - Strong communication, business acumen, and lean‑startup execution. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. - Certifications in cloud platforms (AWS, GCP, Azure) or AI/ML specialties are a plus.
Paris, France
Hybrid
Senior
23-02-2026