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About the Company: Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDigital. About the Role: We are seeking a skilled AWS DevOps/MLOps Engineer to support our Agentic AI initiative. In this role, you will design, automate, and maintain scalable AWS infrastructure and ML workflows that power next-generation AI solutions. You’ll collaborate with data scientists, ML engineers, and product teams to ensure seamless deployment, monitoring, and optimization of AI/ML systems. Responsibilities: - AWS Infrastructure: Design, deploy, and manage AWS services (VPC, EC2, ECS/EKS, S3, IAM, Lambda, Step Functions, CloudFormation/Terraform). - CI/CD Pipelines: Build and maintain pipelines for AI/ML models, data workflows, and applications. - MLOps Practices: Implement model versioning, automated training/testing, deployment, and monitoring. - SageMaker Operations: Support model training, deployment, monitoring, and drift detection using AWS SageMaker. - Workflow Automation: Automate ML and data workflows with Airflow, Step Functions, or Kubeflow. - Observability: Implement monitoring and alerting with CloudWatch, Prometheus, Grafana, or similar tools. Qualifications: - Experience: 4–8 years in DevOps, Cloud Engineering, or MLOps. - AWS Expertise: Hands-on experience with SageMaker, S3, EKS/ECS, Lambda, API Gateway, Step Functions, Redshift, and DynamoDB. - CI/CD Tools: Jenkins, GitHub Actions, GitLab CI/CD, or AWS CodePipeline. - IaC Tools: Terraform, AWS CDK, or CloudFormation. - Scripting Languages: Proficiency in Python, Bash, or Go. - Containerization: Experience with Docker, Kubernetes, and container orchestration. - ML Lifecycle: Knowledge of data ingestion, model training, deployment, monitoring, and retraining. - Monitoring & Logging: Familiarity with CloudWatch, ELK, Datadog, or Prometheus. - GitOps: Understanding of infrastructure and ML model management through GitOps practices. Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. - Group Health Insurance covering family of 4 - Term Insurance and Accident Insurance - Paid Holidays & Earned Leaves - Paid Parental Leave - Learning & Career Development - Employee Wellness Equal Opportunity Statement: Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK. Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here. Our Commitment to Environment: Actively contribute to Apexon's commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.