Artificial Intelligence; AI) Consultant
Listed on 2026-10-20
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
The candidate selected will perform the following duties:
- Design, develop, and deploy AI models and algorithms.
- Collaborate with cross-functional teams to identify and address AI-related challenges.
- Analyze and interpret complex data to extract actionable insights.
- Manage, maintain, and troubleshoot existing AI applications and models, including fixing bugs and resolving issues to ensure optimal performance and reliability.
- Continuously improve AI models through iteration and experimentation.
- Stay up to date with the latest advancements in AI and machine learning.
- Document and present findings and results to stakeholders.
Desired Skillset/
Minimum Experience:
The candidate selected for this position must have the following skills and qualifications:
- Bachelor’s or Master’s degree in computer science, Engineering, Mathematics, or a related field.
- Proven experience in AI, machine learning, or data science.
- Experience with natural language processing (NLP) and computer vision.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks and libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
- Familiarity with cloud platforms (Azure) and Azure Synapse and data workflows (pipelines).
- Strong problem-solving skills and the ability to work independently and collaboratively.
- Excellent communication skills, both written and verbal.
Fill the skill matrix below:
Skill
Amount
Candidate's No. of years of experience
Proven experience in AI, machine learning, or data science.
Required
Experience with natural language processing (NLP) and computer vision.
Required
Proficiency in programming languages such as Python, R, or Java.
Required
Experience with machine learning frameworks and libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
Required
Familiarity with cloud platforms (Azure) and Azure Synapse and data workflows (pipelines).
Required
Bachelor’s or Master’s degree in computer science, Engineering, Mathematics, or a related field.
Required
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