Senior Artificial Intelligence/Machine Learning Engineer
TypeFull-time job
LocationBrazil
Posted59 minutes ago
Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team in Brazil.
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role:
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.
Responsibilities:
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
Requirements:
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
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)
What’s in it for you?
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
About us:
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.
Explore, empower, engineer with Ciklum!
Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.
Originally posted on Himalayas
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role:
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.
Responsibilities:
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
Requirements:
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
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)
What’s in it for you?
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
About us:
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.
Explore, empower, engineer with Ciklum!
Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.
Originally posted on Himalayas
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