Artificial Intelligence / Machine Learning Engineer at Snaarp

Snaarp is your comprehensive all-in-one solution for safeguarding your enterprise with cutting-edge technology, seamless security, and unmatched reliability to protect against evolving threats.

We are recruiting to fill the position below:

Job Title: Artificial Intelligence / Machine Learning Engineer

Location: Lagos
Employment Type: Full-time

Job Summary

• We are looking for a talented and experienced AI & ML Engineer to join our team to build cutting-edge efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities.
• The ideal candidate will design and construct sophisticated Artificial Intelligence and Machine Learning models, in addition to improving and updating existing systems. The ultimate goal is to create efficient self-learning applications that can evolve over time.
• Join our dynamic team if you want to be at the forefront of innovation.

Responsibilities

• Design and develop machine learning algorithms and deep learning applications and systems.
• Solve complex problems with multi-layered data sets, and optimize existing machine learning libraries and frameworks.
• Collaborate with team members on production systems and applications.
• Identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate user recommendations.
• Stay up to date with developments in the AI & ML industry.
• Run machine learning tests and experiments, and document findings and results.
• Train, retrain, and monitor machine learning systems and models as needed.
• Construct optimized data pipelines to feed machine learning models.
• Consult with managers to determine and refine machine learning objectives.
• Document machine learning processes, methodologies, and results to facilitate knowledge sharing and collaboration.
• Stay current with the most recent developments in AI & ML research, methodologies, and technologies, integrating them seamlessly into our workflow.
• Advise stakeholders on technology, strategy, and policy issues related to AI/ML

Qualifications

• A Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related field.
• 3+ years of proven experience in Artificial Intelligence & Machine Learning, Data Science, or a related field.
• High-level expertise in programming languages such as Python, R, Java or Julia.
• Experience with deep learning, NLP, and TensorFlow.
• Proficiency in utilizing machine learning libraries and frameworks like TensorFlow, PyTorch, and scikit-learn.
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch
• Familiarity with data structures, data modeling, and software architecture.
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.
• Understanding of data structures, data modelling and software architecture.
• Hands-on experience with Natural Language Processing (NLP), computer vision, or other AI subfields.
• Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.
• A comprehensive grasp of machine learning methodologies and principles, encompassing supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with data manipulation, pre-processing, and feature engineering techniques.

Skills & Requirements:

• Excellent communication and collaboration skills.
• Impeccable analytical and problem-solving skills.
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• Excellent time management and organizational skills.
• Ability to work in a team
• Problem-solving skills to address complex problems and develop innovative solutions for business needs.
• Creative thinking skills to come up with new solutions and approaches.

Application Closing Date
4th February, 2025.

How to Apply
Interested and qualified candidates should send their CV and portfolio to: [email protected] using the job title as the subject of the mail.