MLOps Developer at Interswitch Group in Lagos

Position Overview

• We are looking for a highly proficient AI/MLOps Developer to join our team.
• The preferred candidate will possess a solid experience in machine learning processes, model deploying, and coordinating ML pipelines.
• This position requires a strong insight of AI/ML processes and the capability to enhance and preserve AI models in generation.

Duties

• Model Development and Deploying: Design, formulate, and deploy machine learning models into generation environments, making sure scalability and reliability.
• Pipeline Automatic control: Build and preserve automated ML pipelines to streamline model development, running test, and deploying methods.
• Supervising and Optimization: Track deployed models for effectiveness and precision, executing retraining and optimization plans as needed.
• Structure Management: Oversee cloud-based and on-premise structure to assist the development and deploying of ML models, making sure cost effectiveness and scalability.
• Guard and Adherence: Execute and preserve strong protection procedures to protect sensitive data and guarantee adherence possessing applicable rules.
• Partnership: Collaborate with data scientists, software engineers, and other participants to combine ML models into applications and operational structures.
• Recordkeeping: Preserve complete recordkeeping of ML pipelines, deploying methods, and model key indicators.
• Ongoing development: Stay informed with the latest improvement in AI/ML and Development-operations procedures, and submit application this expertise to enhance current operational structures and methods.
• Diagnosing issues: Recognize and settle concerns connected with model deploying, effectiveness, and structure on time.

Necessary Credentials

Education: Bsc in Computer Science, Engineering, or a relevant field, or equivalent expertise. Expertise: Demonstrated expertise in AI/MLOps or a similar position, with practical experience in deploying and coordinating machine learning models.

Specialized abilities:

• Competence in programming languages which includes Python, and understanding with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Expertise with containerization and orchestration resources which includes Docker and Kubernetes.
• Expertise in cloud channels (AWS, Azure, GCP) and their ML solutions.
• Understanding with CI/CD resources and methods for ML pipelines.
• Deep knowledge of version regulate operational structures (e.g., Git, BitBucket).
• Expertise with supervising and data recording resources for model effectiveness tracking.

Preferred Credentials:

• Expertise with improved topics like distributed development, model explainability, and ethical AI factors.
• Understanding with data engineering procedures and resources like Apache Spark or Hadoop.
• Payments to launch-acquire projects connected with AI/MLOps.
• Comprehension of software development industry standards, which includes Nimble structured approaches.