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Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformJenkinsKubernetesPythonPyTorchScikit-LearnTensorflowTerraform
About the role
Key responsibilities & impact- Independently design and implement CI/CD pipelines for machine learning models.
- Automate the process of model training, validation, testing, and deployment using relevant tools.
- Develop and maintain automated testing frameworks for machine learning models.
- Develop and manage various model deployment strategies (e.g., A/B testing, canary deployments).
- Build and maintain scalable and reliable infrastructure for model serving (e.g., using Kubernetes, serverless functions).
- Implement and manage model versioning and rollback mechanisms.
- Optimize model serving for latency, throughput, and resource utilization.
- Implement and manage comprehensive monitoring and logging systems to track model performance and identify issues (e.g., model drift, data drift).
- Set up and manage alerting systems to notify the team of performance degradation.
- Contribute to the development and implementation of model governance policies and procedures.
- Ensure compliance with security and privacy requirements.
- Collaborate effectively with data scientists to understand model requirements and dependencies.
- Work with software engineers to integrate machine learning models into applications and services.
- Develop and maintain APIs and interfaces for model access.
Requirements
What you’ll need- Education: Bachelor’s degree in computer science, Engineering, or a related field.
- Experience: 2+ years of experience in DevOps, software engineering, or a related role with a focus on machine learning deployment and operations. Proven experience with cloud platforms and containerization technologies. Experience in the financial services industry is a plus.
- Technical Skills:
- Strong proficiency in DevOps practices and tools (e.g., Jenkins, GitLab CI, Docker, Kubernetes).
- Solid knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and their machine learning services.
- Knowledge of MLflow or Kubeflow for model management, or similar.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong experience with scripting and automation (e.g., Python, Bash).
- Solid understanding of software engineering principles and best practices.
- Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation).
- **Soft Skills: **
- Strong problem-solving and analytical skills with the ability to work independently.
- Ability to work in a fast-paced and dynamic environment.
- Automation mindset and a drive to improve efficiency.
- Excellent collaboration and communication skills.
- Customer-centric approach to solution development.
- Strong team player.
- Disciplined work ethic.
- Good command of English language, both verbal and written.
- Self-learner with a positive attitude.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Finaira Website LinkedIn All Job Openings 51 - 200 employees 🤖 Artificial Intelligence 💳 Fintech 🏦 Banking Artificial Intelligence
- Fintech
- Banking <Finaira> Finaira is an AI-driven digital FinTech services company born from the strategic vision of Banque Misr that delivers advanced, AI and machine-learning powered solutions to modernize banking operations, improve customer experience, and promote financial inclusion across the Middle East and Africa. The company combines deep banking expertise with AI, digital transformation, and productized services aimed at bridging traditional financial institutions with cutting-edge technology, while emphasizing talent development and regional expansion. MLOps Engineer II 🔥 40 minutes ago 🏢🏡 New Cairo City – Hybrid ⏰ Full Time 🟢 Junior 🟡 Mid-level 🤖 Machine Learning Engineer AWS Azure Cloud Docker Google Cloud Platform Jenkins Kubernetes Python PyTorch Scikit-Learn Tensorflow Terraform Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Independently design and implement CI/CD pipelines for machine learning models.
- Automate the process of model training, validation, testing, and deployment using relevant tools.
- Develop and maintain automated testing frameworks for machine learning models.
- Develop and manage various model deployment strategies (e.g., A/B testing, canary deployments).
- Build and maintain scalable and reliable infrastructure for model serving (e.g., using Kubernetes, serverless functions).
- Implement and manage model versioning and rollback mechanisms.
- Optimize model serving for latency, throughput, and resource utilization.
- Implement and manage comprehensive monitoring and logging systems to track model performance and identify issues (e.g., model drift, data drift).
- Set up and manage alerting systems to notify the team of performance degradation.
- Contribute to the development and implementation of model governance policies and procedures.
- Ensure compliance with security and privacy requirements.
- Collaborate effectively with data scientists to understand model requirements and dependencies.
- Work with software engineers to integrate machine learning models into applications and services.
- Develop and maintain APIs and interfaces for model access. 🎯 Requirements
- Education: Bachelor’s degree in computer science, Engineering, or a related field.
- Experience: 2+ years of experience in DevOps, software engineering, or a related role with a focus on machine learning deployment and operations. Proven experience with cloud platforms and containerization technologies. Experience in the financial services industry is a plus.
- Technical Skills:
- Strong proficiency in DevOps practices and tools (e.g., Jenkins, GitLab CI, Docker, Kubernetes).
- Solid knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and their machine learning services.
- Knowledge of MLflow or Kubeflow for model management, or similar.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong experience with scripting and automation (e.g., Python, Bash).
- Solid understanding of software engineering principles and best practices.
- Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation).
- **Soft Skills: **
- Strong problem-solving and analytical skills with the ability to work independently.
- Ability to work in a fast-paced and dynamic environment.
- Automation mindset and a drive to improve efficiency.
- Excellent collaboration and communication skills.
- Customer-centric approach to solution development.
- Strong team player.
- Disciplined work ethic.
- Good command of English language, both verbal and written.
- Self-learner with a positive attitude. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
CI/CD pipelinesmodel trainingmodel validationmodel testingmodel deploymentmodel versioningmodel rollbackmonitoring systemslogging systemsAPIs
Soft Skills
problem-solvinganalytical skillscollaborationcommunicationcustomer-centric approachteam playerdisciplined work ethicself-learnerpositive attitudeability to work independently