Ai Engineer | Digital&ipa (freelance)

PwC UK

Warszawa, Poland
Hybrid
Advanced python programming
Sdlc experience
Aws, azure, or gcp cloud platforms
Designing and implementing modern applications, participating in the creation of high-performance solution architecture

Job Summary

  • Designing and implementing modern applications, participating in the creation of high-performance solution architecture.
  • Applying advanced Python programming, SDLC experience, and proficiency in ML libraries like scikit-learn, PyTorch, and TensorFlow.
  • Benefit from a hybrid work model, flexible hours, and the possibility of occasional remote work, with clear career progression.

Matching Summary

Designing and implementing modern applications, participating in the creation of high-performance solution architecture.

Skills & Requirements

Must-have

  • Advanced Python programming
  • SDLC experience
  • AWS, Azure, or GCP cloud platforms
  • ETL, data pipelines, modeling
  • ML libraries: scikit-learn, PyTorch, TensorFlow
  • NLP/NLU experience
  • LLMs: transformers, embeddings, tokenization
  • Prompt engineering and orchestration tools
  • Vector databases in Gen AI solutions
  • Python software engineering best practices
  • CI/CD pipelines and automation tools
  • Containerizing AI solutions

Nice-to-have

  • Systems thinking and first principles
  • Scalable, resilient, and secure systems design
  • API design, event-driven architectures
  • Enterprise integration patterns
  • IAM, RBAC, secrets management
  • Network security (VPCs, firewalls)

Key Requirements

  • Advanced Python programming and SDLC experience
  • Familiar with AWS, Azure, or GCP cloud platforms
  • Strong foundation in statistics, linear algebra, and calculus
  • Skilled in ETL, data pipelines, modeling, and working with SQL/NoSQL databases
  • Proficient in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face
  • Experienced in NLP/NLU
  • Hands-on with neural networks
  • Deep understanding of LLMs
  • Proficient in prompt engineering and orchestration tools
  • Experience with vector databases in Gen AI solutions
  • Strong Python software engineering skills
  • Experience in code reviews, debugging, testing, and version control
  • Familiar with CI/CD pipelines and automation tools
  • Experience containerizing AI solutions and deploying across enterprise environments
  • Skilled in integrating logging, monitoring, and alerting systems

Work Rights

Not specified

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