WINGS ICT WINGS ICT Solutions is looking for an enthusiastic ML engineer to join it's growing team.
The successful candidate will be:

• Working as part of a team, while also being independent 
• Resolving interesting problems and gaining expertise in state-of-the-art technologies
• Using Machine Learning techniques and Artificial Intelligence algorithms
• Design and develop new predictive machine learning and artificial intelligence algorithms for multiple industrial domains

• Integrate ML models into the production pipeline of our solutions
• Analyze datasets to identify patterns, extract and present insights.

Requirements

Educational requirements:

• Candidates must have a Bachelor’s Diploma in Compute Science, Electrical & Computer/Electronic engineering, Networks, Telecommunications or other relevant fields
• Master’s Degree in the afore-mentioned areas will be considered as a strong plus
  

Necessary skills:

• At least 3 years of proven working experience as a ML Engineer
• Experience in data science and computer vision/ video imaging
• Familiarity with various Software Development tools will be a strong plus
• Highly skilled in Python and ML frameworks
• Strong understanding of modeling and optimization techniques
• Familiarity with software development practices and tools
• Experience in data probing and preparation techniques
• Skills in model tuning, including performance analysis, error analysis, and hyperparameter tuning.
  

Nice to have skills:

• Experience in energy/water facilities domain will be considered a strong asset

Benefits

• Highly competitive salary, reviewed upwards on a regular basis, based on performance.
• Remuneration based on your experience and skills
• Participation in state-of-the-art and large-scale projects
• Personal and professional development, amongst industry experts
• Continuous learning
• Modern workspace, at a very good location

Commitment to Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, or other characteristics.

We respect your personal data. All personal information in your application and CV will remain strictly confidential.