AI Engineer developing AI - enabled capabilities for content management and collaboration platforms. Involved in designing solutions for data processing and knowledge extraction using Azure AI services.
About the role
- AI Engineer with expertise in Data and AI at Solo Network. Engage in high-impact projects utilizing Microsoft tools and emerging technologies.
Responsibilities
- Practical experience with:
- Supervised and unsupervised Machine Learning
- Data preprocessing and analysis
- Model evaluation (metrics, validation)
- Experience working on real projects
- Strong knowledge in:
- Python (pandas, numpy, scikit-learn)
- Applied basic statistics
- Version control (Git)
- Nice-to-have:
- Basic MLOps knowledge
- Experience integrating models into APIs
- This professional should already be able to:
- Understand a business problem
- Propose a modeling approach
- Implement, test and tune models
- Request help primarily for technical decisions rather than for basic execution
Requirements
- Practical experience with:
- Supervised and unsupervised Machine Learning
- Data preprocessing and analysis
- Model evaluation (metrics, validation)
- Experience working on real projects
- Strong knowledge in:
- Python (pandas, numpy, scikit-learn)
- Applied basic statistics
- Version control (Git)
- Nice-to-have:
- Basic MLOps knowledge
- Experience integrating models into APIs
- This professional should already be able to:
- Understand a business problem
- Propose a modeling approach
- Implement, test and tune models
- Request help primarily for technical decisions rather than for basic execution
- Preferred certifications:
- Microsoft AI-900: Azure AI Fundamentals
- DP-900: Azure Data Fundamentals
- Introductory certifications in Machine Learning, Python or Data Science (Coursera, edX, Udemy, etc.)
- Desirable:
- Demonstrated experience with AI
- Education: IT, Information Systems, Software Engineering, Networks, Computer Engineering, Computer Science, etc.
- Language: Technical English
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Microsoft365 AI Engineer responsible for architecting AI solutions on Microsoft platforms. Driving innovation and collaboration in a fintech company, Acrisure.
Senior Data Scientist leading data science and AI initiatives at AstraZeneca. Collaborating with global teams to transform healthcare delivery using advanced machine learning techniques.
Principal Full Stack Engineer to build GenAI platform for healthcare decisions. Join remote - first team within Wolters Kluwer focused on impactful AI agents and rapid development.
AI/GenAI Engineer developing AI applications and integrating solutions for banking platforms. Collaborating with cross - functional teams in a hybrid working environment.
AI Automation Engineer responsible for building AI - powered applications to enhance operational workflows. Collaborate with various teams to deliver impactful automation solutions in a hybrid work environment.
AI Engineer designing agent - based frameworks at Thiga, focused on Production - Grade AI and innovative R&D efforts. Collaborating on cutting - edge AI integration and architecture for client projects.
Senior AI Engineer developing and implementing Generative AI solutions at NFON. Collaborating with clients and teams to enhance chatbot and voicebot technologies.
AI Engineer at Dun & Bradstreet designing and operationalizing AI solutions for global Analytics. Requires strong expertise in Python, PySpark, and GenAI frameworks.
AI Engineer enhancing educational processes through modern technologies at Westermann GmbH. Responsibilities include platform development, use case analysis, and collaboration with application development.