Senior AI/ML Engineer

2-3 per week you need to be available until 9:00 pm due to meetings with the US team.

Altimetrik Poland is a digital enablement company. We deliver bite-size outcomes to enterprises and startups from all industries in an agile way to help them scale and accelerate their businesses. We are unique in Poland's IT market. Our differentiators are an innovation-first approach, a strong focus on core development, and an ability to attack the challenging and complex problems of the biggest companies in the world.

In this role, you’ll help us build the Payments Machine Learning Platform that accelerates the pace of ML development and the deployment of impactful, high quality ML use cases within Payments. This is a platform-focused role (ML infrastructure and pipelines), not primarily new model/algorithm development. 

Responsibilities:

• Build and continuously improve ML systems and pipelines supporting Payments (training, batch/stream processing, and serving).

• Hands-on develop, productionize, and operate ML training and inference pipelines at scale, including both batch and (where applicable) real-time use cases.

• Leverage third-party and in-house tools & infrastructure to develop reusable platform components that enable fast iteration, reliable deployments, efficient serving, and easier long-term upkeep of ML systems.

• Example projects include: workflow standardization, distributed training reliability, offline/online consistency, reproducibility, and platform/tooling migrations.

Your experience:

• 5+ years of industry experience in applied AI/ML, inclusive of MS or PhD in relevant fields.

• Proficient programming (Python or Java) and solid data engineering fundamentals.

• Working knowledge of modern AI/LLM workflows - prompt engineering, hallucination mitigation, safety guardrails, and online/offline testing to help reduce training/inference drift and support reliable outcomes.

• Hands-on experience with at least one or two of the following: PyTorch/TensorFlow, scalable inference stacks, vector search, orchestration/MLOps platforms (Kubeflow, Airflow), large-scale data streaming & processing (Spark, Ray, Kafka).

• Experience contributing to the development, deployment, and monitoring of production AI systems — e.g. personalization engines, generative content services — including exposure to drift/cost/latency monitoring and retraining workflows, and the ability to collaborate cross-functionally to turn defined requirements into measurable AI impact.

• Prior knowledge of AI/ML applications in the Payments domain is a plus.

🔥We grow fast.

🤓We learn a lot.

🤹We prefer to do things instead of just talking about them.

If you would like to work in an environment that values trust and empowerment... don't hesitate, just apply!