Our client needs support of an AI Consultant to provide guidance on designing, implementing, and scaling GenAI 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 SageMaker, and Kamino for complex AI applications
Implement and fine-tune GenAI 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 PoCs 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 GenAI 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 LlamaIndex
Strong understanding of MLOps (CI/CD, version control, automated testing)
Hands-on experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., SageMaker, 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 DevOps 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: B2B
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
