Senior AI Engineer

180 - 240 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#478500·Dodano 4 dni temu·8

Źródło: justjoin.it

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Tech Stack / Keywords

Machine LearningCloudAIPython

Podsumowanie oferty

Lead the development of advanced AI solutions that solve real business problems. Design, build, and deploy scalable AI systems in production with data scientists, data engineers, and cloud engineers, using Python and agentic frameworks.

Wymagania

Required Skills & Experience

Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
Hands-on experience building and deploying AI and ML systems.
Strong proficiency in Python.
Experience with agentic frameworks (e.g. LangChain, pydantic-ai, strands, Agent-ai).
Solid knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Experience in NLP, computer vision, or related AI domains.
Familiarity with cloud platforms (AWS, Azure or GCP).
Strong analytical and problem-solving skills.
Excellent communication skills.
Experience working in cross-functional teams.
Familiarity with Agile methodologies (Scrum, Azure DevOps).

Obowiązki

AI Solution Development

Design and develop agentic systems, machine learning models, and AI algorithms.
Lead the implementation of scalable AI products aligned with business and user needs.
Deploy and operate AI/ML solutions in cloud environments (AWS preferred).
Ensure reliability, performance, and maintainability of AI systems in production.

Data & Model Engineering

Design and oversee scalable data pipelines across cloud and hybrid environments.
Lead data preprocessing, ingestion, and transformation activities.
Establish data quality controls and monitor data drift.
Guide model training, evaluation, tuning, and performance optimization.

Integration & Deployment

Integrate AI components into existing systems and workflows.
Manage production deployments, monitoring, versioning, and maintenance.

Collaboration & Communication

Collaborate with stakeholders to gather requirements and deliver effective AI solutions.
Maintain clear technical documentation.
Communicate complex AI concepts to both technical and non-technical audiences.

Research & Innovation

Stay up to date with emerging AI technologies and best practices.
Experiment with new approaches to improve existing and future solutions.

Benefity

Broad range of internal and international projects, with a variety of clients and tasks.
Budget for skills development and certifications as part of the collaboration.
Regular collaboration reviews and discussion of project scope.
Networking and team-building events for project teams.

Dofinansowanie szkoleń

Spotkania integracyjne

Craftware

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