Wrocław, Wrocław, Lower Silesian Voivodeship, Polska
BCF Software Sp. z o.o.
24. 8. 2024
Informacje o stanowisku
technologies-expected :
Python
Docker
Kubernetes
technologies-optional :
Microsoft Azure
AWS
Google Cloud Platform
about-project :
At BCF Software, we are pioneering the integration of artificial intelligence to drive innovation and solve complex challenges across various industries. We are looking for a seasoned Senior AI/ML Engineer with deep expertise in data engineering, AI architecture, and cloud environments to join our forward-thinking team. This role offers the opportunity to work on transformative projects that leverage cutting-edge technology to deliver impactful results.
responsibilities :
Data Engineering and Pipeline Development:
Design and Build Pipelines: Create and maintain robust data pipelines that are foundational to supporting AI/ML models.
Data Quality Assurance: Ensure data quality and integrity at every stage of the data lifecycle.
Workflow Optimization: Enhance data workflows for optimal performance and scalability.
AI Architecture in Cloud Environments:
Cloud AI Design: Architect and implement AI solutions in cloud environments, including AWS, Azure, or GCP.
Integration and Deployment: Work closely with cloud engineers to ensure smooth integration and deployment of AI models.
Utilize Cloud-Native Tools: Leverage cloud-native services and tools to enhance AI capabilities and streamline operations.
Deployment of Large Language Models (LLMs):
Model Deployment: Deploy and fine-tune large language models (LLMs) to meet various business needs.
Scalability and Security: Ensure that LLM deployments are scalable, efficient, and secure within production environments.
Performance Monitoring: Continuously monitor and optimize model performance in real-time applications.
AI Ethics and Responsible AI Practices:
Ethical AI Development: Integrate ethical considerations and bias mitigation strategies into AI processes.
Promote Responsible AI: Advocate for and ensure the adoption of responsible AI practices across all projects.
Stay Informed: Keep abreast of the latest AI ethics guidelines and industry best practices.
Stakeholder Communication and Requirement Gathering:
Collaborate with Stakeholders: Engage with stakeholders to understand business objectives and translate them into technical specifications.
Effective Communication: Convey complex technical concepts to non-technical stakeholders in an understandable manner.
Project Updates: Provide regular progress updates and insights on AI projects to stakeholders.
requirements-expected :
Seniority: Senior (9+ years of relevant experience).
Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Advanced Python Proficiency: Strong expertise in Python for data processing, scripting, and automation.
Cloud Computing Experience: Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
Data Management: Proficiency in RDBMS/NoSQL data stores and an understanding of their appropriate use cases.
Data as Code: Experience with version control, regular commits, unit tests, CI/CD, and containerization tools such as Docker and Kubernetes.
AI Architecture Expertise: Proven experience in designing and implementing AI architectures within cloud environments.
AI Ethics Knowledge: In-depth understanding of AI ethics, bias mitigation strategies, and responsible AI practices.
Problem-Solving Skills: Exceptional problem-solving abilities and attention to detail.
Communication Skills: Excellent communication skills with the ability to engage stakeholders, gather requirements, and translate them into actionable technical plans. Fluency in English is required.
offered :
Innovative Projects: Work on groundbreaking AI projects that make a real impact.
Career Development: Continuous learning opportunities and professional growth in a cutting-edge technology environment.
Collaborative Culture: Join a team that values collaboration, creativity, and the sharing of ideas.