AI/ML Architect

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SeniorZdalnieFull-time

#462500·Dodano 2 dni temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

PythonCloudSQLNoSQLJava C#C++scikit-learn PyTorch

Podsumowanie oferty

Designs the architecture of GenAI applications and develops Python code for AI applications and components. The role includes building APIs and microservices for AI integration and evaluating GenAI model performance.

Wymagania

At least 8 years of experience and fluency in the Python development ecosystem.
Experience building back-end services in Python using frameworks such as FastAPI or Flask, and working with SQL and NoSQL databases.
Knowledge of clean code and design patterns in Python, and an attitude toward building well-structured, high-quality solutions.
Experience writing robust unit tests for developed applications.
Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-native technologies.
Familiarity with the CI/CD lifecycle.
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a team.
Very good knowledge of English and Polish.
Strong communication and presentation skills.

Nice to have:

Knowledge of another object-oriented programming language: Java, C#, or C++.
Knowledge of machine learning algorithms and libraries such as scikit-learn and PyTorch.
Knowledge and practical experience processing clinical data or working with pharma R&D use cases.

Obowiązki

Design architecture for GenAI applications.
Design, develop, and maintain Python code in AI applications and components.
Review code and identify areas for improvement.
Collaborate with stakeholders and participate in presales activities.
Collaborate with data scientists and machine learning engineers to use AI models in applications.
Work with architectures using GenAI models, including RAG and agentic workflows.
Collaborate with managers, testers, DevOps, and other roles throughout the project lifecycle.
Develop and maintain APIs and microservices for AI integration with other systems.
Conduct experiments and evaluations to measure GenAI model performance.
Use coding agents and improve the coding workflow over time.
Stay up to date with advancements in GenAI technologies.
Contribute to a collaborative and innovative team culture.

Benefity

After the probation period, access to an English-language reimbursement program and an individual development budget.
Private medical care, a sports card, and a preferential life insurance plan.
Fruit on Tuesdays and Wednesdays.
Non-work activities including Office Day, POP UP integrations, and competitions.

Dofinansowanie szkoleń

Kursy językowe

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Darmowe przekąski

Spotkania integracyjne

C&F

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