MID-LEVEL AI ENGINEER
Seismic Consulting Group · Maitama, Abuja, Nigeria ·
- Seniority
- Middle
- Category
- AI engineering
Seismic Consulting Group · Maitama, Abuja, Nigeria ·
● Design, train, evaluate, and fine-tune AI/ML models for production use.
● Implement state-of-the-art algorithms in areas such as NLP, computer vision, recommender systems, or time-series forecasting.
● Optimize models for performance, scalability, and cost efficiency in cloud and edge environments.
● Collaborate with data engineers to collect, clean, and preprocess large datasets.
● Develop automated data pipelines for training and inference workflows.
● Integrate AI models into web, mobile, and enterprise applications using APIs and microservices.
● Collaborate with software engineers to ensure seamless integration and deployment in production systems.
● Develop and manage workflow automations using tools such as n8n, Zapier, or similar platforms to streamline data flows, trigger AI processes, and integrate multiple services.
● Stay up to date with the latest AI research and assess applicability to business use cases.
● Prototype new concepts and evaluate feasibility through proof-of-concepts and pilot projects.
● Work closely with cross-functional teams to translate business requirements into technical solutions.
● Document model architecture, training processes, and deployment guidelines for maintainability and knowledge transfer.
● Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field (Master’s preferred).
● 3–5 years of experience in AI/ML development.
● Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers.
● Solid understanding of machine learning fundamentals, data structures, and algorithms.
● Experience deploying models to production environments (AWS, Azure, GCP, or on-premise).
● Familiarity with version control (Git) and containerization (Docker, Kubernetes).
Preferred:
● Experience with large language models (LLMs) and prompt engineering.
● Knowledge of MLOps tools and practices (MLflow, Kubeflow, Airflow).
● Experience with automation and integration platforms like n8n or Zapier.
● Exposure to data visualization libraries (Matplotlib, Plotly) and analytics platforms.
● Understanding of ethical AI principles, bias mitigation, and model interpretability.
● Strong problem-solving and analytical thinking.
● Excellent communication and teamwork abilities.
● Ability to work independently and manage multiple priorities in a fast-paced environment.