AI and Machine Learning Specialist

Full Description

Our client is seeking a highly skilled and innovative AI and Machine Learning Specialist to join their growing technology team in Maiduguri, Borno, NG .

This role is instrumental in driving the development and implementation of cutting-edge artificial intelligence and machine learning solutions.

You will be involved in designing, building, and deploying models that solve complex business problems,improve efficiency, and create new opportunities.

The ideal candidate will have a strong background in computer science, statistics, and relevant programming languages, coupled with hands-on experience in ML algorithms and frameworks.

This position offers a hybrid work model, fostering collaboration while providing flexibility.

You will have the opportunity to work on challenging projects that leverage the power of AI to transform our client's operations.

Key Responsibilities:

Design, develop, and implement machine learning models and algorithms.

Process, cleanse, and structure large datasets for ML applications.

Evaluate and select appropriate ML algorithms and techniques for specific problems.

Train and test ML models, optimizing their performance and accuracy.

Deploy ML models into production environments and monitor their effectiveness.

Collaborate with software engineers and data scientists to integrate AI solutions.

Stay current with the latest advancements in AI, machine learning, and deep learning.

Conduct research and experimentation to explore new AI technologies and applications.

Develop data visualizations and reports to communicate findings and model performance.

Ensure the ethical and responsible use of AI technologies.

Identify opportunities to apply AI and ML to solve business challenges.

Troubleshoot and debug ML systems.

Contribute to the development of AI strategy and roadmap. Document methodologies, algorithms, and code.

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

Proven experience in developing and deploying machine learning models.

Proficiency in programming languages such as Python, R, or Java. Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Strong understanding of statistical modeling, data mining, and data analysis techniques.

Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies is a plus.

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities. Ability to work effectively in a hybrid team environment.