Workpedia Africa
Department: Engineering & Technology
Location: Lagos (Part-Time, Remote Work Available)
Industry: IT & Telecoms
Salary Range: NGN 150,000 – 250,000
Application Type: Easy Apply
Posted: Today
Job Summary
We are seeking a highly motivated AI Systems Engineer with experience in machine learning model development and optimization. The ideal candidate will contribute to building and deploying machine learning models for real-world applications. This role involves collaborating closely with data scientists and software engineers to integrate machine learning algorithms into production systems. Flexible remote work options are available.
Minimum Qualification: Others
Experience Level: Entry-level
Experience Length: 2 years
Responsibilities
- Model Development: Design and train machine learning models, including regression, classification, clustering, and more.
- Data Preprocessing: Clean, preprocess, and analyze large datasets to prepare for model training, including feature extraction and selection.
- Model Optimization: Apply techniques such as hyperparameter tuning, cross-validation, and regularization to optimize models for performance and scalability.
- Deployment & Integration: Work with software engineers to deploy machine learning models into production environments, ensuring seamless integration.
- Performance Monitoring: Monitor and enhance model performance, addressing issues like model drift or degradation.
- Research & Development: Stay up-to-date with the latest machine learning techniques, frameworks, and tools, integrating new technologies into ongoing projects.
- Documentation: Maintain thorough documentation for models, data pipelines, and workflows to ensure reproducibility.
Requirements
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (PhD is a plus).
- Technical Skills:
- Proficiency in Python and machine learning libraries like TensorFlow, Keras, PyTorch, Scikit-learn.
- Experience with data manipulation tools (Pandas, NumPy) and visualization libraries (Matplotlib, Seaborn).
- Familiarity with various machine learning algorithms such as linear regression, decision trees, random forests, support vector machines, and neural networks.
- Experience working with large datasets and cloud platforms (AWS, GCP, Azure) for model training and deployment.
- Understanding of MLOps practices for continuous integration and model delivery.
- Experience in natural language processing (NLP), computer vision, or reinforcement learning is a plus.
- Personal Attributes:
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of a collaborative team.
- Excellent communication and collaboration abilities.
Benefits
- Competitive salary with performance-based bonuses.
- Opportunities for career development and professional growth.
- Collaborative environment with access to cutting-edge ML technologies.
- Flexible work arrangements, including remote work options.
Apply today to be part of a dynamic team pushing the boundaries of AI and machine learning!