AI and Machine Learning Specialist - Licht Tech Limited MBA / MSc / MA Job
2024-05-28 10:30 ICT Lagos 106 viewsJob Details
Job Summary
We are seeking an experienced and highly skilled AI and Machine Learning Specialist to join our team.
The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with the ability to develop and implement innovative solutions to complex problems.
The AI and Machine Learning Specialist will work closely with cross-functional teams to design, develop, and deploy AI-driven applications and systems that enhance our products and services.
Responsibilities
Research and evaluate cutting-edge AI and machine learning technologies, algorithms, and techniques.
Develop, train, and optimize machine learning models and algorithms for various applications, such as natural language processing, computer vision, predictive analytics, and recommendation systems.
Collect, preprocess, and analyze large datasets to extract meaningful insights and patterns.
Collaborate with software engineers, data engineers, and domain experts to integrate AI models into production systems and applications.
Implement scalable and efficient machine learning pipelines and workflows.
Conduct experiments, A/B tests, and performance evaluations to assess the effectiveness and accuracy of AI models.
Stay up-to-date with the latest advancements and best practices in AI, machine learning, and related fields.
Provide technical guidance and mentorship to junior team members.
Communicate findings, results, and recommendations to stakeholders through presentations, reports, and documentation.
Requirements
Bachelor's degree in computer science, engineering, mathematics, or related field. Master's or Ph.D. preferred.
2+ years of experience in AI, machine learning, and data science.
Proficiency in programming languages such as Python, R, or Java.
Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with deep learning architectures and techniques.
Solid understanding of statistics, probability, and linear algebra.
Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud).
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills.
Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications:
Experience with big data technologies (e.g., Hadoop, Spark).
Knowledge of reinforcement learning, generative adversarial networks (GANs), or other advanced AI techniques.
Experience with deploying and managing AI models in production environments.
Contributions to open-source projects or publications in relevant conferences or journals.