AI Machine Learning Engineer (Mid to Senior Level) Remote Nigeria

Role Summary

Alpha Global is hiring a skilled AI / Machine Learning Engineer to develop intelligent systems that power real-world business solutions. You’ll be responsible for building, optimizing, and deploying machine learning models at scale. This role is ideal for professionals with 5+ years of hands-on experience in production-level AI / ML engineering using cloud-native platforms and modern ML frameworks.

Key Responsibilities

Mid-Level ML Engineer

Build, train, and deploy models for classification, clustering, regression, and recommendations

Work with data engineers to prepare datasets and pipelines for training

Tune models and monitor real-time performance in production

Deploy models using AWS SageMaker, Azure ML, or Google AI Platform

Use Docker and Kubernetes for containerized ML deployment

Document model design, training process, and testing outcomes

Conduct A / B testing and participate in retraining cycles

Senior ML Engineer

Lead architecture of AI / ML workflows and infrastructure

Optimize models for performance, interpretability, and scalability

Drive MLOps adoption with tools like Kubeflow and Airflow

Guide integration of AI services into broader systems and APIs

Explore advanced deep learning methods (e.g., Transformers, CNNs, NLP pipelines)

Mentor junior team members and contribute to team-wide knowledge sharing

Stay current on AI advancements and recommend innovation opportunities

Required Qualifications & Experience

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field

Minimum 5 years of professional experience in machine learning engineering

Proven track record of deploying ML models in production

Certifications (Preferred)

Google Professional Machine Learning Engineer

AWS Certified Machine Learning – Specialty

Microsoft Certified : Azure AI Engineer Associate

Technical Skills

Languages : Python (required), R (optional), Java / Scala (bonus)

ML Frameworks : TensorFlow, PyTorch, Keras, Scikit-Learn

Data Tools : Pandas, NumPy, Apache Spark MLlib

Cloud Platforms : AWS SageMaker, Azure ML, Google AI Platform

Containerization : Docker, Kubernetes

Orchestration : Kubeflow, Apache Airflow

Good-to-Have Skills

Experience with NLP, computer vision, or deep learning architectures

Familiarity with MLOps pipelines and deployment strategies

Knowledge of model interpretability and explainability tools

Soft Skills

Strong analytical and critical thinking abilities

Clear communication in remote, cross-functional environments

Self-driven with a research and innovation mindset

Precision-oriented with quality-focused execution

Why Join Us?

Remote-first role with global exposure to high-impact AI projects

Opportunities for certifications and continuous learning

Competitive salary aligned with European market benchmarks

Collaborative and cutting-edge engineering culture

Salary Range

₦500,000 – ₦1,000,000 Monthly Gross