La Forge

www.la-forge.ai

1 Job

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 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).*