Responsibilities:
Design, develop, deploy, and annotate machine learning models and AI systems from scratch.
Write clean, efficient, and scalable Python code for data extraction, feature engineering, and model training.
Preprocess large-scale datasets and select appropriate ML algorithms for classification, regression, or clustering tasks.
Fine-tune hyperparameters and optimize models using frameworks such as TensorFlow or PyTorch.
Monitor, evaluate, and continuously improve model performance in production.
Participate in technical assessments and coding challenges as part of the evaluation process.
Requirements:
Experience:
Minimum of 3 years of proven professional experience building and deploying end-to-end ML models.
Strong
Python programming skills and willingness to complete a technical assessment are mandatory for this position
ML Frameworks:
Strong hands-on expertise with ML libraries like Scikit-learn, Pandas, NumPy, and deep learning frameworks (TensorFlow, Keras, or PyTorch).
Problem-Solving:
Strong understanding of statistics, probability, and advanced mathematical concepts applicable to ML.
Soft Skills:
Excellent remote communication skills and the ability to work independently with minimal supervision.
Remuneration: NGN 500,000

Company in Nigeria.