AI Engineer

3 months ago

Dubai, United Arab Emirates Yeah! Global Full time

This is a remoteposition.

Note: One of ourclients based in California USA is creating a new team for a newproject and hiring 7 AI Engineers globally. This is a 100% remotejob and does not offer visa sponsorship. Please share your resumein Englishonly.

JobOverview:

Weare seeking a talented and motivated AI Engineer to join ourinnovative team. As an AI Engineer you will be responsible fordesigning developing and implementing cuttingedge artificialintelligence solutions. You will work closely with crossfunctionalteams to create intelligent systems that enhance our products andservices ensuring they are at the forefront oftechnology.

KeyResponsibilities:

  • Design develop and deploy AI andmachine learning models to solve complex businessproblems.
  • Collaborate with data scientists softwareengineers and other stakeholders to understand requirements anddeliver AI solutions.
  • Optimize and finetune AI algorithms forperformance and scalability.
  • Conduct research to stay updated on thelatest AI trends tools andtechniques.
  • Develop and maintain robust scalable andefficient codebases for AIapplications.
  • Perform data analysis and preprocessing toprepare datasets for training andevaluation.
  • Evaluate and implement new tools andframeworks to enhance AI developmentprocesses.
  • Work on integrating AI solutions withexisting systems andinfrastructure.
  • Troubleshoot and debug AI models andapplications to ensure reliability andaccuracy.
  • Document AI development processes models andoutcomes for future reference.

RequiredQualifications:

  • Bachelors or Masters degree inComputer Science Engineering or a relatedfield.
  • Strong programming skills in languages suchas Python Java or C.
  • Experience with machine learning frameworksand libraries (e.g. TensorFlow PyTorchScikitlearn).
  • Solid understanding of machine learningalgorithms and statisticalmethods.
  • Experience with data preprocessing featureengineering and model evaluationtechniques.
  • Familiarity with cloud platforms (e.g. AWSAzure Google Cloud) and AIservices.
  • Strong problemsolving skills and ability towork in a fastpaced collaborativeenvironment.
  • Excellent communication skills and ability toexplain complex AI concepts to nontechnicalstakeholders.

PreferredQualifications:

  • Experience with deep learningtechniques and neural networks.
  • Knowledge of natural language processing(NLP) and computer vision.
  • Experience with big data technologies (e.g.Hadoop Spark).
  • Familiarity with DevOps practices and toolsfor AI model deployment andmonitoring.
  • Previous experience in developing AIsolutions for specific industries (e.g. healthcare financeretail).


Bachelor's or Master's degree in Computer Science,Engineering, or a related field. Strong programming skills inlanguages such as Python, Java, or C++. Experience with machinelearning frameworks and libraries (e.g., TensorFlow, PyTorch,Scikit-learn). Solid understanding of machine learning algorithmsand statistical methods. Experience with data preprocessing,feature engineering, and model evaluation techniques. Familiaritywith cloud platforms (e.g., AWS, Azure, Google Cloud) and AIservices. Strong problem-solving skills and ability to work in afast-paced, collaborative environment. Excellent communicationskills and ability to explain complex AI concepts to non-technicalstakeholders.

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