AI Consultant

We are looking for a high-caliber AI Consultant to act as a strategic partner in our digital 
transformation. This is a project-based engagement for a seasoned professional who can bridge 
the gap between complex engineering and business-driven AI solutions. 
 
In this role, you will not just develop; you will advise, consult, and drive our engineering projects 
into top-notch AI solutions, ensuring a profound impact on system performance and operational 
intelligence.

Responsibilities 

• Architecting AI Integrations: Design and deploy AI/ML-powered features seamlessly 
  into existing .NET and Python environments.
• API & Infrastructure: Build high-performance APIs, services, and background jobs to 
  support AI scalability.
• Data Strategy: Optimize data pipelines for AI components, leveraging MariaDB, SQL 
  Server, and Redis for maximum efficiency.
• Model Implementation: Evaluate, build, or integrate AI models ensuring they meet strict 
  security and performance standards (especially in restricted/on-prem environments).
• Operational Excellence: Ensure all AI functionalities are maintainable, well-tested, and 
  comply with architectural guidelines.
• Technical Consulting: Collaborate with product owners to translate complex business 
  needs into elegant, scalable technical solutions.

Additional Responsibilities

• Any other responsibility established by the manager related to the employee’s knowledge and 
  areas of responsibility.

Key Skills and Requirements 

• Core Engineering: Deep proficiency in .NET (C#) for backend services and Python for 
  data processing/AI tasks.
• Data Management: Solid experience with MariaDB, SQL Server, and Redis (caching and 
  messaging).
• AI/ML Integration: Practical experience consuming or building AI models and RESTful 
  APIs.
• DevOps Culture: Mastery of Git, CI/CD pipelines, and modern development workflows. 
  Problem Solving: A consultant’s mindset—proactive, autonomous, and able to navigate 
  fast-paced environments.

Preferred Qualifications

• Experience with TensorFlow, PyTorch, Scikit-learn, or ONNX.
• Knowledge of Containerization (Docker, Kubernetes).
• Proven experience in NLP, Document Processing, or Predictive Analytics.
• Expertise in Secure/Private AI (integrating AI in environments with no cloud access).
• Familiarity with Event-driven architectures or Microservices.

• What we offer 
  Project-Based Autonomy: Clear deliverables and the freedom to define the technical 
  "How."
• Complex Challenges: Work on high-impact features that define the future of our 
  software.
• Collaborative Environment: Direct access to architects and stakeholders for 
  streamlined decision-making.