AI & Machine Learning Engineer

Full Description

Our client is seeking an innovative AI & Machine Learning Engineer to join their cutting-edge technology team in Ilorin, Kwara, NG .

This role offers a hybrid work arrangement, combining on-site collaboration with remote flexibility.

The AI/ML Engineer will be responsible for designing, developing, and deploying advanced machine learning models and artificial intelligence solutions.

You will workon challenging projects, including data preprocessing, feature engineering, model training, evaluation, and deployment.

Key responsibilities include collaborating with data scientists and software engineers, staying abreast of the latest advancements in AI and ML, and contributing to the development of intelligent systems that drive business value.

The ideal candidate will possess a strong foundation in computer science, mathematics, and statistics, with hands-on experience in machine learning algorithms, deep learning frameworks, and programming languages like Python.

Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable.

You should be a creative problem-solver with a passion for leveraging AI to tackle complex challenges and develop innovative solutions.

This is an exciting opportunity for a talented engineer to contribute to the future of AI and make a significant impact. If you are a motivated individual with a strong technical aptitude and a desire to work at the forefront of AI innovation, we encourage you to apply.

Responsibilities:

Design, build, and deploy machine learning models and AI solutions.

Perform data mining, cleaning, and feature engineering on large datasets.

Train, evaluate, and tune various machine learning algorithms.

Develop and implement deep learning models for complex tasks.

Collaborate with data scientists and software engineers on AI/ML projects.

Stay current with the latest research and advancements in AI and ML.

Optimize models for performance, scalability, and efficiency.

Develop APIs and integrate ML models into existing applications.

Troubleshoot and debug AI/ML systems. Document methodologies, experiments, and results.

Qualifications:

Proven experience as an AI or Machine Learning Engineer. Strong understanding of machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch).

Proficiency in programming languages like Python.

Experience with data preprocessing and feature engineering techniques.

Familiarity with cloud platforms (AWS, Azure, GCP).

Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.

Excellent analytical, problem-solving, and quantitative skills.

Strong communication and collaboration abilities.

Master's or Ph.

D. in Computer Science, AI, Machine Learning, or a related field is preferred. Experience with MLOps practices is beneficial.