AI /ML Developer | specialist
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- Apache AirflowGCPKubernetesMLFlowSoftware EngineeringHelmMLOpsGenerative AI
Requirements
- Solid experience as a Senior ML Engineer or in a similar role.
- Strong background in Machine Learning applied in production environments.
- Hands-on experience with Kubernetes (K8s) and Helm.
- Experience implementing CI/CD pipelines for ML and software systems.
- Strong software engineering background with scalable system design experience.
- Experience designing and implementing end-to-end AI/ML architectures.
- Hands-on experience with cloud platforms such as OCI and/or GCP.
- Practical experience with Generative AI and LLMs (OpenAI, Llama, Gemini, Claude, etc.).
- Experience with tools such as MLflow, Kedro, Apache Airflow or similar orchestration frameworks.
- Experience with RAG systems, autonomous agents, and LLM evaluation techniques.
- Knowledge of FinOps applied to AI workloads is a plus.
Responsibilities
- Design, develop, and operationalize advanced AI and ML solutions, ensuring end-to-end delivery from architecture to production deployment.
- Build and implement scalable Machine Learning and Generative AI solutions, including LLM-based systems and intelligent workflows.
- Define and evolve secure, resilient, and high-performance AI architectures aligned with business and technical requirements.
- Develop, train, evaluate, and deploy ML models and LLMs in production environments.
- Create and maintain data pipelines, training workflows, and deployment pipelines for ML systems.
- Work with Prompt Engineering, Retrieval-Augmented Generation (RAG), autonomous agents, and AI orchestration frameworks.
- Implement MLOps best practices, including versioning, monitoring, governance, and lifecycle management of models.
- Develop APIs, services, and automation components with a strong focus on quality and reliability.
- Operate in cloud environments (OCI and GCP), optimizing for cost, performance, and security.
- Collaborate with cross-functional teams to align AI solutions with product and business goals.
- Provide technical guidance and contribute to strategic decisions for AI-driven initiatives.
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