AI Expert / Advisor (NLP and ML)

talantum • Nigeria
Remote
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AI Summary

Talantum is seeking a part-time remote AI Expert / Advisor specializing in Natural Language Processing (NLP) and Machine Learning (ML). The role involves designing and implementing ML models, developing NLP solutions, and providing expert advice on AI best practices. The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.

Key Highlights
Design and implement ML models
Develop NLP solutions
Provide expert advice on AI best practices
Key Responsibilities
Design and implement ML models
Develop NLP solutions
Evaluate algorithms
Provide expert advice on AI best practices
Collaborate with cross-functional teams
Technical Skills Required
Python R TensorFlow PyTorch scikit-learn
Benefits & Perks
Part-time remote work
Opportunity to work with a global company

Job Description


Company Description

Talantum specializes in facilitating global career opportunities for talented professionals by supporting relocation, immigration, and professional growth. We provide comprehensive guidance for navigating talent visas, residence permits, and long-term pathways to leading work destinations including the UK, USA, EU, Middle East, Asia, and Australia. Our services focus on enhancing career positioning through CV optimization, interview preparation, employer connections, and public profile development. Talantum is dedicated to streamlining your career journey with clarity and confidence, helping you achieve your international career aspirations.

Role Description

This is a part-time remote role for an AI Expert / Advisor specializing in Natural Language Processing (NLP) and Machine Learning (ML). The AI Expert will be responsible for designing and implementing ML models, developing NLP solutions, evaluating algorithms, and providing expert advice on AI best practices. The role also includes collaborating with cross-functional teams to deliver innovative technology solutions and stay updated on AI advancements.

Qualifications
  • Proficiency in Natural Language Processing (NLP) concepts, tools, and techniques
  • Experience building, deploying, and optimizing Machine Learning models
  • Proficiency in programming languages such as Python or R and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Knowledge of data preprocessing, data analysis, and feature engineering
  • Proficiency in technical problem-solving and application of statistical analysis
  • Ability to interpret and communicate complex AI/ML concepts to non-technical stakeholders
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field
  • Experience collaborating on cross-disciplinary teams and delivering innovative solutions

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