Alpha Global is a Dutch-headquartered remote outsourcing agency specializing in connecting top-tier Nigerian IT professionals with leading companies across Europe and beyond. We recruit from Nigeria’s top 1% of tech talent, ensuring excellence, professionalism, and strong communication skills. Our professionals work on international projects with full remote support and career development opportunities.

We are recruiting to fill the position below:

Job Title: AI / Machine Learning Engineer (Mid / Senior Level)

Location: Remote (Based in Nigeria)
Employment Type: Full-time

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?

• Salary Range: N500,000 – N1,000,000 Monthly Gross
• 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.

Application Closing Date
30th September, 2025.