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Location
Remote (Brazil)also open in Poland
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Ciklum scores B on the Alion truth index.

Overview
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Headquartered in London, United Kingdom, Ciklum is a global digital product engineering and IT services company. Founded in 2002, the enterprise delivers end-to-end technology solutions, including custom software development, artificial intelligence and data engineering, cloud automation, quality engineering, and robotic process automation. Operating engineering hubs and delivery centers across Europe, North America, and Asia, the organization partners with Fortune 500 enterprises and high-growth tech companies to build scalable digital platforms and accelerate business transformation.

Ciklum is looking for aSenior 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.

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