Xebia

Technology

AI/MLEngineer

$160–240k ~AI est. Poland Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“AI/ML Engineer at Xebia. Skills: AI/ML Engineering, AIOps, Applied AI, MLOps. Design AI agents for operations. Develop AI agents for operations”

What You'll Achieve.

Accuracy reporting; False positive rates reporting; Human override frequency reporting

Industry & Context.

Technology
Problems you'll solve

Dependency Analysis; Root-cause prediction

Eligibility Requirements

Work permit, Work from EU

What They're Looking For.

Must Have

3-6 years of experience, Python skills, ML frameworks experience, NLP/LLM integration experience, MLOps understanding, Cloud ML services experience, Observability data structures knowledge, Time-series analysis familiarity, Anomaly detection familiarity, English communication skills

Nice to Have

LLM-based agent architectures experience, Anthropic Claude or OpenAI APIs familiarity, IT operations or SRE background, Graph-based dependency mapping experience, Change risk prediction knowledge, Automated testing frameworks knowledge

What You'll Do.

Design AI agents for operations

Develop AI agents for operations

Implement Agent Maturity Gate framework

Develop ML models for alert correlation

Develop ML models for anomaly detection

Develop ML models for root-cause prediction

Train models on operational data

Build confidence scoring systems

Deploy agents using Xebia ACE

Maintain audit trails

Collaborate with SRE teams

Collaborate with Automation teams

Integrate agents into workflows

Measure agent effectiveness

Report agent effectiveness

How You'll Work.

Team & Collaboration

SRE teams; Automation teams; Cross-functional teams

Communication Scope

English communication

Full Job Description

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: designing and developing AI agents for operations: Incident Triage, Dependency Analysis, Runbook Interpreter, Change Risk, building and deploying the AI KT Agent that ingests codebase snapshots, IaC, and 12 months of incident history, implementing the Agent Maturity Gate framework: OBSERVE, RECOMMEND, CONTROLLED EXECUTE, LIMITED AUTONOMY, developing ML models for alert correlation, anomaly detection, and root-cause prediction, training models on operational data within client own repositories (full IP portability), building confidence scoring systems: agents only advance maturity gates when data-validated, deploying agents using Xebia ACE (Anthropic Claude Enterprise) platform across 4 regional instances, maintaining full audit trails for all agent decisions and recommendations, collaborating with SRE and Automation teams to integrate agents into operational workflows, measuring and reporting agent effectiveness: accuracy, false positive rates, human override frequency. Your profile: 3-6 years of ex

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