AI / Ml Engineer @ Experis Polska

Proven experience in Azure Cloud architecture and setup Strong background in AI/ML model deployment and scaling Proficiency with frameworks such as TensorFlow and Scikit-learn Solid data engineering skills Hands-on experience with MLOps and CI/CD practices Knowledge of containerization technologies (e.g., Docker, Kubernetes) Expertise in model monitoring and...

Expectations Proven experience in AI frameworks, LLM integration, and autonomous agent design. Strong full-stack development skills with modern frontend and backend technologies (React, Next.js, or Vue on the frontend; Node.js, Python/FastAPI, or Django on the backend).) Expertise in cloud platforms and scalable deployment strategies. Solid understanding of...

Proven experience in managing AI or machine learning projects at a senior level Strong understanding of AI frameworks, tools, and deployment practices Excellent leadership and communication skills across technical and non-technical teams Ability to translate complex AI concepts into actionable business strategies Fluent in English, with strong analytical...

To succeed in this role, you should have: Minimum 7+ years of ServiceNow implementation experience, with at least 3 years focused on ITOM architecture. Proven experience in designing and delivering enterprise-scale ITOM solutions. Expert-level knowledge of ServiceNow ITOM suite (Discovery, Service Mapping, Event Management, CMDB). Strong understanding of...

Do we have a match As a Senior/Mid AI/ML Engineer, you must meet most of the following criteria: Solid AI/ML expertise: strong understanding of ML concepts and hands-on experience with classic ML and modern LLM architectures Ability to go beyond APIs: experience designing data flows, embeddings, RAG pipelines, fine-tuning, or agent-based systems Strong...

Proven experience with traditional data warehouse and ETL systems (Informatica is a strong plus) Hands-on expertise with PySpark and Python Experience working with Databricks Proficiency in cloud platforms, preferably Microsoft Azure Experience in large-scale data migration projects Familiarity with CI/CD practices in data engineering Start Date: ASAP /...

Do we have a match As a Senior/Mid AI/ML Engineer, you must meet most of the following criteria: Solid AI/ML expertise: strong understanding of ML concepts and hands-on experience with classic ML and modern LLM architectures Ability to go beyond APIs: experience designing data flows, embeddings, RAG pipelines, fine-tuning, or agent-based systems Strong...

Bachelor’s degree (or equivalent) in Computer Science, Information Technology, or a related field 3–5 years of experience in a technical role (e.g., software engineering, technical consulting) Strong coding skills in JavaScript  Proficiency in Python is a plus Technical understanding of process automation (workflow logic, database updates, config...

Requirements Minimum 6 years of experience in Big Data or Cloud projects involving processing and visualization of large and unstructured datasets across various phases of the SDLC Hands-on experience with AWS cloud services including Storage, Compute (and Serverless), Networking, and DevOps Solid understanding of AWS services, ideally supported by relevant...

Proven experience in Splunk SIEM setup, configuration, and administration. Strong understanding of security operations, threat detection, and incident response. Familiarity with enterprise log source configuration and content creation. Background in IT or Information Security; certifications such as CISSP, GCTI, or CTIA are a plus. Excellent...