ai & automation engineer (4048)
Aug 8, 2026 · Allwyn Hellas
What you'll do
- Translate business needs into scalable AI solutions and technical implementation plans
- Ensure safe, reliable GenAI outputs through testing frameworks and best practices for model lifecycle management
- Design and deploy predictive models for customer behavior, game performance, personalization, and fraud detection
- Perform data exploration, preprocessing, and feature engineering for model development
- Collaborate with data engineers to build and maintain data pipelines and feature stores
- Define technical architecture and deliver GenAI solutions across multiple platforms
- Work with AI Product Owners and external partners to translate requirements into GenAI products
- Support full GenAI lifecycle from ideation to deployment, staying updated with latest AI advancements
Key requirements
- Experience with GenAI solutions including LLMs, text-to-image, and conversational AI
- Proficiency in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face
- Skills in prompt engineering, fine-tuning, model evaluation, and orchestration tools like LangChain and LlamaIndex
- Expertise in MLOps practices including model monitoring, drift detection, CI/CD, and use of MLflow, SageMaker, Kubeflow
- Knowledge of customer analytics use cases such as segmentation, churn prediction, and recommendations
- Computer Science / Artificial Intelligence / Data Science / Statisticspreferred
Benefits
- An award-winning working environment, competitive salary package and bonus scheme, health insurance coverage, pension plan and annual health checkup.
- Hybrid working model and state of the art facilities including gym & restaurant.
About the job
Are you excited about the future of AI?
As an AI & Automations Engineer, you will design and deploy AI solutions in predictive analytics and generative AI, bridging business needs with technical execution to deliver scalable, ethical, and efficient systems that drive innovation across the organization.
Your day to day will include:
Translate business needs into scalable AI solutions and technical implementation plans
Ensure safe and reliable GenAI outputs through testing frameworks and apply best practices for model lifecycle management, cost optimization, and observability
Design and deploy predictive models for customer behavior, game performance, personalization, and fraud detection
Perform data exploration, preprocessing, and feature engineering to support robust model development
Collaborate with data engineers to build and maintain high-quality data pipelines and feature stores
Define technical architecture and deliver GenAI solutions across retail, online gaming, and enterprise platforms
Work closely with AI Product Owners and external partners to translate requirements into GenAI-powered products
Support the full GenAI lifecycle from ideation to deployment, staying up to date with the latest advancements (e.g., LLMs, diffusion models, multimodal AI)
What you need to succeed:
BSc in Computer Science or Information Technology, Artificial Intelligence, Data Science, Statistics or a related field. MSc in relevant topic is considered a plus
Proven experience in GenAI solutions (LLMs, text-to-image, conversational AI) with strong understanding of architectures, best practices, and ethical considerations (privacy, security, compliance)
Proficiency in Python and SQL, and hands-on use of ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face)
Experience with prompt engineering, fine-tuning, model evaluation, and post-deployment tuning using orchestration tools (e.g., LangChain, LlamaIndex)
Skilled in model monitoring, drift detection, and MLOps practices (CI/CD, versioning, monitoring) using tools like MLflow, SageMaker, Kubeflow
Hands-on with data processing (Spark, Apache Beam, Airflow) and storage systems (BigQuery, S3, Snowflake, Delta Lake)
Knowledge of customer analytics use cases (segmentation, churn, recommendations, real-time analytics) and strong analytical, problem-solving, and project management skills
What’s in it for you?
🚀 An award-winning working environment
💸 Competitive salary package and bonus scheme
🩺 Health insurance coverage, Pension Plan and Annual Health Checkup
💻 Hybrid working model
🏢 State of the art facilities including gym & restaurant
🎓 Continuous learning powered by Allwyn Academy
💼 Internal career opportunities
👪 Family Support incl. daycare voucher and assisted reproduction voucher
🌱 Volunteering program, including 2 extra days off to give back
💪 Well-Being Program incl. sports teams, nutritionist & psychologist services, Employee Assistance line and more
🗓️ Allwyn Day - one extra day off
🍴 Monthly food allowance
🚌 Shuttle service for easy commute to our offices
🛍️ Exclusive employee discounts across a range of partners ️



