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Highly Skilled AI Solutions Architect

1 tydzień temu

Warszawa, Mazovia, Polska CODA100 Pełny etat

CODA100 is a leading innovator in the field of artificial intelligence, seeking an exceptional AI Solutions Architect to drive the development and implementation of cutting-edge AI-driven solutions. This role requires a talented individual with hands-on experience in designing, developing, and deploying scalable AI models leveraging Machine Learning (ML), Large Language Models (LLMs), and Natural Language Processing (NLP).

Key Responsibilities:

  • Design and implement AI architectures that meet business requirements, utilizing modern frameworks and cloud platforms.
  • Collaborate with cross-functional teams to identify AI opportunities and deliver tailored solutions.
  • Develop and deploy APIs for seamless integration of AI capabilities into business workflows.
  • Fine-tune and optimize AI models using techniques such as transfer learning and reinforcement learning.
  • Create engaging presentations, documentation, and training materials to support knowledge-sharing and solution adoption.

Requirements:

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field; a Master's degree is a plus.
  • Practical experience with LLMs, Generative AI frameworks, and ML techniques.
  • Hands-on experience in building and deploying AI solutions using modern frameworks and cloud platforms.
  • Familiarity with RAG workflows, vector databases, and embeddings.

Technical Skills:

  • Strong proficiency in Python for AI development.
  • Experience with AI and ML frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
  • Knowledge of NLP concepts and tools (e.g., spaCy, NLTK).
  • Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes.
  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).

Preferred Skills:

  • Familiarity with prompt engineering techniques (e.g., zero-shot, few-shot prompting).
  • Understanding of data pipelines and tools for data preprocessing and feature engineering.
  • Hands-on experience in training and fine-tuning open-source models using transfer learning or reinforcement learning.

We Offer:

  • Remote work arrangement.
  • Avg 30-40 hours per week availability.
  • Agile collaboration in an international team.
  • Negotiable hourly rate depending on experience.