Senior AI/ML Engineer (AWS) at CloudPlexo
CloudPlexo
•
Lagos
•
0
Full Time , Hybrid
BA/BSc/HND
4 years
Posted Oct 4, 2025
ICT / Computer 
Job Description
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:
- 4+ 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.
How to Apply
Interested and qualified? Go to CloudPlexo on docs.google.com to apply
Ready to apply?
Submit your application before the deadline.