1 AI & Emerging Technologies jobs in Nigeria
Machine Learning Engineer
Lagos, Lagos
AlligatorNinja
Posted 21 days ago
Job Viewed
Job Description
Job Title: Machine Learning Engineer
Location: Nigeria & Egypt (Remote) br>Employment Type: Full-time
About Our Client:
Our client is looking for a Machine Learning Engineer to help design and deploy models that create real-world impact, from data preprocessing to production-ready ML systems.
Key Responsibilities
Design, build, and deploy machine learning models for classification, prediction, or recommendation tasks.
Work with large and diverse datasets; perform data cleaning, feature engineering, and exploratory data analysis.
Collaborate with data engineers, product managers, and software developers to integrate ML into production systems.
Optimize models for performance, accuracy, and scalability.
Conduct experiments and evaluate model performance using appropriate metrics.
Stay current with new research, tools, and frameworks in the ML ecosystem.
Requirements
2+ years of hands-on experience in machine learning or data science roles
Strong knowledge of Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost)
Experience with data manipulation tools (Pandas, NumPy) and visualization tools (Matplotlib, Seaborn, etc.)
Solid understanding of ML algorithms, statistics, and data structure
Experience working with cloud platforms (AWS/GCP/Azure) and ML pipeline tools (e.g., MLflow, Airflow) is a plus
Familiarity with APIs and deploying models in real-world applications
Nice to Have
Exposure to NLP, Computer Vision, or Deep Learning projects
Experience with big data tools (Spark, Hadoop, etc.
MLOps or DevOps knowledge for production-grade ML systems
Publications or contributions to open-source projects
What We Offer
Competitive salary + performance-based bonuses.
Flexible remote work or hybrid setup.
Supportive team, collaborative environment, and ownership of meaningful projects.
We look forward to hearing from you!
Location: Nigeria & Egypt (Remote) br>Employment Type: Full-time
About Our Client:
Our client is looking for a Machine Learning Engineer to help design and deploy models that create real-world impact, from data preprocessing to production-ready ML systems.
Key Responsibilities
Design, build, and deploy machine learning models for classification, prediction, or recommendation tasks.
Work with large and diverse datasets; perform data cleaning, feature engineering, and exploratory data analysis.
Collaborate with data engineers, product managers, and software developers to integrate ML into production systems.
Optimize models for performance, accuracy, and scalability.
Conduct experiments and evaluate model performance using appropriate metrics.
Stay current with new research, tools, and frameworks in the ML ecosystem.
Requirements
2+ years of hands-on experience in machine learning or data science roles
Strong knowledge of Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost)
Experience with data manipulation tools (Pandas, NumPy) and visualization tools (Matplotlib, Seaborn, etc.)
Solid understanding of ML algorithms, statistics, and data structure
Experience working with cloud platforms (AWS/GCP/Azure) and ML pipeline tools (e.g., MLflow, Airflow) is a plus
Familiarity with APIs and deploying models in real-world applications
Nice to Have
Exposure to NLP, Computer Vision, or Deep Learning projects
Experience with big data tools (Spark, Hadoop, etc.
MLOps or DevOps knowledge for production-grade ML systems
Publications or contributions to open-source projects
What We Offer
Competitive salary + performance-based bonuses.
Flexible remote work or hybrid setup.
Supportive team, collaborative environment, and ownership of meaningful projects.
We look forward to hearing from you!
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