Senior AI/ML Engineer

Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.

We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.

We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey.

We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.

And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.

Join our Artificial Intelligence team as a Senior Software Engineer (with an overlap into ML Engineer) and help us revolutionize marketing with ML-powered solutions! You'll work on cutting-edge technologies, impacting millions of users, and contributing to a product that truly makes a difference. Starting monthly compensation begins at 4000 EUR gross, with the final offer tailored for each candidate based on their skills and experience. Stock options and a comprehensive benefits package are also included. Working in one of our Central European offices (Bratislava, Brno, Prague) or from home on a full-time basis, you´ll become a core part of the Engineering Team.

What challenge awaits you?

You'll face the exciting challenge of building and maintaining ML-powered features in a production environment, ensuring they are reliable, scalable, and deliver real value to our users. You'll work alongside a team to overcome the unique challenges of building and running ML models in a SaaS environment, including managing data complexity, optimizing for performance, and ensuring model robustness.

You will cooperate with your teammates, Data Science engineers, and Engineering and Product leaders to speed up ML-powered features' delivery (from ideation to production) by applying principles of continuous discovery, integration, testing, and other techniques from Agile, DevOps, and MLOps mindsets. This will involve building efficient workflows, automating processes, and fostering a culture of collaboration and innovation.

Your job will be to:

a. Design & Deliver new features

Translate business requirements for ML-powered features into technical specifications and design documents.

Collaborate with data scientists to ensure new ML features' technical feasibility and scalability.

Define and develop back-office API endpoints (to configure the features) as well as the high-performance serving endpoints.

Develop and implement ML models, algorithms, and data pipelines to support new features.

Deploy and monitor new features in production, ensuring seamless integration with existing systems.

b. Ensure quality and performance of developed solution

Perform rigorous testing and quality assurance of ML models and code, including unit tests, integration tests, and A/B testing.

Implement monitoring systems and dashboards to track the performance of ML models in production, identify potential issues, and optimize for accuracy and efficiency.

Contribute to developing and implementing DevOps and MLOps best practices within the team.

c. Support and Maintain owned components

Maintain end-to-end features, encompassing back-office APIs, models, definitions, and high-performance serving APIs.

Provide ongoing support and maintenance for existing ML-powered features, including troubleshooting issues, fixing bugs, and implementing enhancements.

Support our client-facing colleagues in the investigation of possible issues (L3 support).

Document code, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.

What technologies and tools does the AI team work with?

Programming languages - Python

Google Cloud Platform services - GKE, BigQuery, BigTable, GCS, Dataproc, VertexAI

Data Storage and Processing - MongoDB, Redis, Spark, TensorFlow

Software and Tools - Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty

The owned area encompasses various domains such as Predictions, Contextual bandits, Autosegmentation, MLOps. Therefore, having experience in these areas would be beneficial. The team also works with large amounts of data and utilizes platforms and algorithms for model training and data processing & ML pipelines. Experience in these areas is highly valued.

You have the following experience and qualities:

Professional experience

Proven experience in Python engineering, with a strong focus on designing and maintaining AI/ML-powered features in production environments.

Experience with cloud platforms (e.g., GCP, AWS) and relevant services for ML development and deployment.

Solid understanding of software architecture principles, particularly in the context of building and maintaining scalable and reliable APIs and microservices.

Experience with version control systems (e.g., Git) and CI/CD pipelines for efficient development and deployment.

Familiarity with common ML frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn, etc.)

Personal qualities

A genuine passion for learning new technologies and keeping up-to-date with the latest advancements in AI/ML.

Demonstrates strong initiative, ability to work within a team and communication skills

A commitment to delivering high-quality work and a dedication to continuous improvement.

Excited? Join us and transform the future of commerce experiences.