Senior Artificial Intelligence/Machine Learning Engineer

Salary range: B2B - 41-45 E/h + VAT 💰

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in Poland.

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, become a part of a cross-functional development team engineering experiences of tomorrow. 

The client is a healthcare platform focused on mental health services. It enables clients to schedule appointments with psychologists and psychotherapists while integrating with various US insurance providers and mental health networks. The platform offers subscription packages for mental health and ensures accessibility through multiple insurance options.

Responsibilities:

• Design and implement MCP servers that expose internal data/services to LLMs

• Build secure, structured endpoints for model context access

• Integrate MCP services with model inference APIs

• Implement and operate a vector search engine

• Deploy models into production (cloud, on-premise or hybrid) and integrate with upstream/downstream systems (EHR modules, APIs, micro-services, dashboards)

• Monitor model performance in live settings (accuracy, drift, bias, fairness, reproducibility), and iterate on models to maintain or improve reliability and relevance

• Build/maintain machine learning pipelines and work with the data platform team to connect AI workloads to core datasets

• Ensure security, permissions and monitoring of AI systems

• Implement cost monitoring and usage tracking for AI workloads across internal teams

• Partner with cross-functional stakeholders (data scientists, data engineers, SDEs) to deploy these capabilities

• Stay informed about emerging AI/ML techniques, tools and best practices (including AI ethics, bias mitigation, interpretability), and proactively bring forward improvements or innovation

• Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of junior team members

Requirements:

• Proficiency in Python (or analogous language) and strong familiarity with ML frameworks/libraries (ex: TensorFlow, PyTorch, scikit-learn)

• Experience building APIs, services or microservices

• Knowledge of vector databases or search systems

• Experience with LLM application patterns: RAG, embeddings, prompt orchestration and tool calling

• Experience with basic MLOps practices : model deployment, monitoring, pipeline automation, CI/CD

• Demonstrated ability to deploy models into production or near-production environments (cloud environments like AWS, Azure, GCP or containerised/micro-services infrastructure). GCP experience is strongly preferred

• A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn

• Bachelor’s degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field

• 5+ years of platform/infrastructure engineering exp, with demonstrable recent work on LLM-based systems

Desirable:

• Experience in healthcare, behavioral health, EHR systems or regulated industries

• Familiarity with MLOps practices: CI/CD for models, model monitoring, drift detection, model governance

• Experience with NLP (clinical text) or computer vision (imaging) tasks

• Familiarity with cloud-native services for ML (e.g., AWS SageMaker, Azure ML, GCP AI Platform) and related infrastructure (Docker, Kubernetes)

• Awareness of AI ethics, bias/fairness issues, model interpretability techniques

• Experience mentoring others or leading small tech initiatives

What`s in it for you?

• Strong community: Work alongside top professionals in a friendly, open-door environment

• Growth focus: Take on large-scale projects with a global impact and expand your expertise

• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications

• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies

• Flexibility: Enjoy flexibility – full remote working possibilities

• Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations

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.With delivery centers in Wrocław and Gdańsk, our 300+ professionals in Poland drive forward-thinking solutions for global clients. Join a community where collaboration sparks innovation—and your impact reaches millions.

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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.