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Technologies-expected : Python ML Docker Kubernetes about-project : Our client needs support of an AI Consultant to provide guidance on designing, implementing, and scaling Gen AI solutions. You will play a critical role in deploying AI models, ensuring seamless integration with existing systems, and continuously monitoring model performance. This position requires a strong focus on MLOps best practices, ethical AI, and customization to align with organizational needs. responsibilities : Enhancing conversational AI, developer productivity, and search capabilities using enterprise-grade technology Collaborating with cloud partners to build custom solutions for specialized use cases Promoting citizen development through no-code/low-code platforms Utilizing AI workbenches like Dataiku, AWS Sage Maker, and Kamino for complex AI applications Implement and fine-tune Gen AI models and pipelines Deploy and manage machine learning models in production using MLOps frameworks Monitor and optimize model performance for scalability and efficiency Assess the performance of large language models within specific domains Partner with data scientists, engineers, and stakeholders to deliver AI solutions Integrate AI models with existing workflows and systems Support consulting projects of varying scopes, from quick Po Cs to full-scale solutions Communicate technical concepts effectively to non-technical stakeholders Develop scalable MLOps infrastructure, including CI/CD pipelines and version control Manage cloud-based resources for model deployment and monitoring Ensure robust infrastructure for automation and testing Stay updated with the latest trends in MLOps and Gen AI technologies Conduct post-deployment evaluations to enhance model performance Maintain compliance with data privacy and security standards Address biases and ensure adherence to ethical AI guidelines requirements-expected : Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related fields Proficiency in Python (R is a plus) Experience with ML integration frameworks like Langchain or Llama Index Strong understanding of MLOps (CI/CD, version control, automated testing) Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., Sage Maker, Vertex AI) Experience with containerization tools (Docker, Kubernetes) Background in vector databases and production model management Familiarity with infrastructure automation (Ansible, Terraform) Understanding of data engineering and pipeline development Experience with Dev Ops practices and Agile methodologies Commitment to ethical AI practices and data compliance standards offered : Location: Gdańsk/ Warsaw Work model: 100% Remote Salary: 80 – 100 PLN / h Employment type: B2 B Benefits: multisport card, medical care, life insurance, trainings benefits : sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance remote work opportunities flexible working time