• Application Deadline:
• Position: Senior AI/ML Engineer (AWS)



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 5 years



• Location Lagos




• Job Field ICT / Computer 
  
  

• We are seeking a talented Senior AI/ML Engineer to design, develop, and deploy machine learning models and AI solutions. You will work closely with cloud engineers, solutions architects, and business stakeholders to build scalable, production-ready AI systems that drive real-world impact.

Key Responsibilities:

• Design, develop, and deploy machine learning models using AWS AI/ML services (SageMaker, Bedrock, Lex, Rekognition, etc.).


• Optimize and fine-tune ML models for performance, scalability, and cost-efficiency.


• Implement MLOps pipelines for automated training, deployment, and monitoring.


• Collaborate with data engineers to build robust data pipelines (Glue, Athena, Redshift, etc.).


• Work with AWS services like Lambda, Step Functions, ECS, and S3 to integrate AI/ML into cloud-native applications.


• Stay updated with the latest advancements in generative AI, LLMs, and deep learning.


• Provide technical guidance to clients and internal teams on AI/ML best practices.

Required Skills and Experience:

• 5+ years of hands-on experience in AI/ML model development and deployment.


• Strong proficiency in Python, TensorFlow, PyTorch, or scikit-learn.


• Experience with AWS AI/ML stack (SageMaker, Bedrock, Claude, Titan, etc.).


• Knowledge of MLOps tools (SageMaker Pipelines, MLflow, Kubeflow).


• Familiarity with big data technologies (Spark, Hadoop, Databricks) is a plus.


• AWS certifications (AWS Certified ML – Specialty) are highly desirable.


• Strong problem-solving skills and ability to work in fast-paced environments.