[Hiring] Senior Artificial Intelligence/Machine Learning Engineer @Ciklum

Role Description

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team in Brazil. As a Senior Artificial Intelligence/Machine Learning Engineer, you'll become a part of a cross-functional development team engineering experience of tomorrow. You will work for an American partner known for selling and distributing tickets for various events, one of the leading providers of booking and ticketing services in the arts and entertainment industry, operating on a global scale.

• Own the ML lifecycle: take models from problem framing through training, deployment and monitoring
• Frame problems: turn business goals into ML tasks and metrics. Use plain code where a model isn’t needed
• Build models: classical ML, time series and NLP, plus LLM and RAG features where they fit
• Evaluate rigorously: sound validation, the right metrics, and evals that gate every release
• Ship and run models: deploy with Docker and CI/CD on cloud ML platforms, and monitor drift and cost
• Deliver with AI: use AI coding agents throughout, and validate their output strictly
• Collaborate: review code and experiments, mentor others and explain results to stakeholders

Qualifications

• ML experience: 5+ years, with models shipped to production
• Python: pandas, scikit-learn, and PyTorch or TensorFlow
• ML fundamentals: validation, overfitting, feature selection, imbalanced data
• Data: strong SQL; Spark for large datasets
• MLOps: Docker, CI/CD, model serving and monitoring
• Cloud ML: SageMaker, Azure ML or Vertex AI
• LLMs: has shipped LLM or RAG features and written the evals for them
• AI-assisted development: uses an AI coding assistant daily and keeps its current context (codebase, data schemas, standards)
• Communication: fluent English; explains model trade-offs to non-technical people

Requirements

• Desirable:
• Anomaly detection and forecasting
• Recommender systems or ranking
• Fine-tuning (LoRA/PEFT)
• LangGraph or MCP
• MLflow, Airflow or Kubeflow
• Terraform and Kubernetes
• LLM cost control: model routing, caching, token budgets
• AWS Certified Machine Learning Engineer – Associate or Claude Certified Developer (Anthropic)

Benefits

• Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance and mental health programs, 5 undocumented sick-leave days per year
• Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
• Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
• Long-term employment with 20 working-days paid vacation and local bank holidays
• Flexibility: 100% remote work mode
• Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential
• Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
• Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events

Company Description

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. As we expand into Latin America, every Ciklumer is helping to shape our story. Collaborate with seasoned experts and make a global impact backed by two decades of industry leadership.