AWS MLOps Engineer

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    "datePosted": "2025-05-04",
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    "description": "<p><span style=\"color: rgb(118, 113, 113);\">Amidel is an Information Technology and Business Consulting Company that provides highly specialised solutions to large and small enterprises in both the private and public sectors. Our team of experts leverages cutting-edge technologies to address complex business challenges and drive digital transformation.</span></p>\n<p><br><span style=\"color: rgb(118, 113, 113);\">We are seeking a highly experienced AWS MLOps Engineer with a minimum of 3 years of AWS experience and at least 5 years in Machine Learning. The ideal candidate will play a crucial role in designing, implementing, and maintaining machine learning (ML) solutions on the AWS platform. As an AWS MLOps Engineer, you will work closely with cross-functional teams to deploy and operationalize ML models, ensuring seamless integration into our clients' environments.</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-weight: bold;\">Job family: </span>Computer Science/Engineering/Mathematics/Statistics</span></p>\n<p><span style=\"color: rgb(118, 113, 113); font-weight: bold;\">Minimum Experience: </span><br><span style=\"color: rgb(118, 113, 113);\">5 years of experience in MLOps or related roles</span><br><span style=\"color: rgb(118, 113, 113);\">3 years of experience with AWS</span><br><span style=\"color: rgb(118, 113, 113); font-weight: bold;\">Education Requirements: </span><br><span style=\"color: rgb(118, 113, 113);\">Bachelor's or higher degree in Computer Science, Engineering, Statistics, or a related field.</span><br><span style=\"color: rgb(118, 113, 113);\">Advantageous:</span><br><span style=\"color: rgb(118, 113, 113);\">•    AWS Certified Machine Learning – Specialty Certificate</span><br><span style=\"color: rgb(118, 113, 113);\">•    AWS Certified DevOps Engineer – Professional</span><br><span style=\"color: rgb(118, 113, 113);\">•    Other relevant AWS certifications (e.g., Solutions Architect, Developer)</span><br><span style=\"color: rgb(118, 113, 113); font-weight: bold;\">Contract Type: </span><br><span style=\"color: rgb(118, 113, 113);\">Permanent</span><br></p>\n<p><br></p>\n<p><span style=\"color: rgb(118, 113, 113); font-weight: bold;\">RESPONSIBILITIES</span></p>\n<p><br></p>\n<p><span style=\"color: #767171; font-family: 'Arial',sans-serif;\">Responsibilities differ across client engagements but may include:</span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Architect and Deploy ML Solutions: Design and implement end-to-end ML pipelines on the AWS platform, ensuring scalability, reliability, and compliance with banking sector regulations.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Model Training and Evaluation: Collaborate with data scientists to facilitate the training and evaluation of ML models, optimizing for accuracy and efficiency.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Infrastructure Management: Build and manage infrastructure on AWS, including EC2 instances, S3 buckets, and other relevant services, adhering to the highest security standards required by the banking sector.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Automation and Orchestration: Implement automation and orchestration tools to streamline ML workflows and enhance operational efficiency.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Monitoring and Logging: Develop robust monitoring and logging mechanisms to track the performance of ML models in production, identifying and addressing issues proactively.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Security and Compliance: Implement security best practices and ensure compliance with data protection regulations in ML workflows and infrastructure.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Collaboration and Documentation: Work closely with cross-functional teams, providing technical expertise and documentation to support knowledge transfer.</span></span></p>\n<p><br></p>\n<p><span style=\"color: rgb(118, 113, 113); font-family: Arial, sans-serif; font-weight: bold;\">QUALIFICATIONS AND COMPETENCIES</span></p>\n<p><br></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">AWS Expertise: In-depth knowledge of AWS services, with a focus on those relevant to ML, such as SageMaker, Lambda, Glue, and others.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">MLOps Proficiency: Hands-on experience with MLOps practices, including model versioning, continuous integration, and continuous deployment (CI/CD) for ML.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Programming Skills: Proficient in programming languages such as Python or C#, with the ability to write clean and efficient code for ML workflows.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Containerization and Orchestration: Experience with containerization tools (Docker) and orchestration frameworks (Kubernetes) for deploying and managing ML applications.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Infrastructure as Code (IaC): Familiarity with IaC tools like Terraform or AWS CloudFormation for automating infrastructure deployment.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Monitoring and Logging Tools: Knowledge of monitoring and logging tools such as CloudWatch, ELK stack, or Prometheus for tracking ML model performance.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Symbol;\">·        </span><span style=\"font-family: Arial, sans-serif;\">Collaboration and Communication: Strong collaboration and communication skills to work effectively with cross-functional teams and clients.</span></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><br></span></p>\n<p><span style=\"color: rgb(118, 113, 113);\"><span style=\"font-family: Arial, sans-serif;\">If you meet these qualifications and are passionate about leveraging AWS and machine learning to drive business outcomes, we invite you to apply for this exciting opportunity.</span></span></p>",
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