AI Engineer

FUNCTIONS

• End-to-end AI responsibilities:
    - Design, build, and scale advanced AI solutions. Have a broad understanding of different computer vision and text processing-oriented architectures and their applicability.
    - Own the full lifecycle of data science initiatives, from ideation and data ingestion to production-grade model deployment.
    - Drive continuous experimentation to optimize model performance and deliver measurable business impact.
  - Strategic collaboration and stakeholder alignment
    - Partner with business leaders to translate needs into clear project scopes, objectives, and success metrics.
    - Define technical and business success criteria with project managers and stakeholders.
    - Ensure solutions meet corporate standards for data quality, security, privacy, and regulatory compliance (including EU AI Act and regional laws).
  - Technical mentorship:
    - Mentoring junior data scientists through practical guidance, skills gap training, and joint solution development.
    - Foster a culture of excellence, collaboration, and continuous learning within the data science team.
  - Innovation and future-ready AI:
    - Stay ahead of the curve in machine learning and AI advancements.
    - Proactively identify business challenges and propose high-impact AI innovation projects.

REQUIREMENTS:- Master’s in Computer Science, Statistics, Mathematics, Engineering, or related field.
- 3+ years of experience in data science or ML.
- Technical skills:
  - Programming: Python, SQL (.NET is an extra).  - Version control.
  - Deep learning framework: PyTorch.
  - MLOps: AI products lifecycle management.