Technical Lead - AI, MLOps
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Job Description
Technical Leader in AI & MLOps at Stefanini co-creating innovative solutions through cutting-edge technology. Focus on AI model deployment and operationalization with a global impact.
Responsibilities:
- Responsible for developing and operationalizing AI solutions, with a focus on scalability, governance and the industrialization of models.
- Act as the technical reference for AI and MLOps, leading the construction, deployment and evolution of models in production.
- Define the architecture and standards for the AI and MLOps pipeline.
- Develop and operationalize models (predictive and generative).
- Design ML/LLMOps pipelines (training, deployment and monitoring).
- Implement CI/CD, version control and model monitoring.
- Ensure governance, traceability and quality.
- Translate business requirements into technical solutions.
Requirements:
- Experience with AI / Machine Learning in production.
- Experience with MLOps / model deployment.
- Strong foundation in Python and data engineering.
- Experience with cloud architecture (Azure, AWS, GCP).
- Generative AI (LLMs, RAG) — preferred.
- Databricks / MLflow — preferred.
- Experience structuring ML pipelines — preferred.
Benefits:
- Meal allowance or meal voucher.
- Discounts on courses, universities and language schools.
- Stefanini Academy — a platform with free, up-to-date online courses and certifications.
- Mentoring.
- Benefits club for medical consultations and exams.
- Health insurance.
- Dental insurance.
- Discounts and perks at top establishments.
- Travel club.
- Pet care plan / pet insurance.
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