Senior Applications Developer AI MLOps
Senior Applications Developer AI MLOps
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Job Description
Company:
MMC CorporateDescription:
We are seeking a talented individual to join our MMC Corporate team at MMC Tech .This role will be based in Noida/Gurgaon. This is a hybrid role that has a requirement of working at least three days a week in the office.
Role Overview
As a DevOps Engineer at Mercer you will be a key driver in automating and optimizing our software development deployment and runtime environments with a focus on scalable secure and reliable AI solutions. You will possess a comprehensive understanding of the Software Development Lifecycle (SDLC) CI/CD pipelines and infrastructure automation with an emphasis on containerized workloads and cloud-native architectures. Your role will also include supporting the deployment and management of AI/ML models ensuring smooth integration of LLMOps/MLOps practices into our digital pipelines.
This position requires a proactive collaborative engineer who can bridge development operations and AI teams to deliver high-quality scalable AI-enabled applications and services.
We will count on you to:
- Manage and Prioritize Tasks:Self-manage assigned tasks within the DevOps team backlog ensuring timely delivery and continuous improvement.
- Design & Implement DevOps Processes:Develop refine and document CI/CD pipelines infrastructure-as-code and automation procedures to streamline software and AI model deployment.
- Collaborate Across Teams:Work closely with development architecture and AI/ML teams to understand their deployment requirements including model serving data pipelines and runtime environments.
- Automate Deployment & Infrastructure:Build and maintain automated workflows for software deployment testing environment provisioning and AI/ML model lifecycle management including versioning monitoring and rollback strategies.
- Support AI/ML & LLMOps/MLOps:Implement best practices for deploying scaling and monitoring AI models including large language models ensuring compliance with security and performance standards.
- Cost & Security Management:Monitor environment costs ensure environments are patched secure and compliant and optimize resource utilization.
- Maintain Environment Consistency:Ensure environment definitions are version-controlled reproducible and aligned with organizational standards.
- Promote Best Practices:Advocate for infrastructure security reliability and efficiency incorporating AI-specific considerations such as model drift detection data privacy and model explainability.
- Monitor & Troubleshoot:Use observability tools (DataDog ElasticSearch Grafana etc.) to monitor system health troubleshoot issues and optimize AI deployment pipelines.
- Contribute to Innovation:Stay current with emerging DevOps MLOps and LLMOps trends integrating new tools and methodologies to improve deployment workflows.
- Documentation & Knowledge Sharing:Maintain comprehensive documentation of processes environments and AI deployment strategies sharing knowledge across teams.
What You Need to Have:
- Proven experience automating CI/CD pipelines infrastructure provisioning and deployment workflows especially in containerized environments.
- Strong understanding of DevOps best practices including security scalability and cost management.
- Experience working with AI/ML models including deployment monitoring and lifecycle management with familiarity in LLMOps/MLOps practices.
- Ability to collaborate with AI teams to support model deployment versioning and scaling.
- Knowledge of cloud platforms (AWS Azure GCP) for deploying AI solutions at scale.
- Familiarity with container orchestration tools such as Kubernetes Rancher Helm and Docker.
- Experience with automation tools like Jenkins Ansible GitHub Actions and scripting languages (Python Bash).
- Experience with observability and logging tools such as DataDog ElasticSearch Logstash Kibana and Grafana.
- Understanding of security best practices for cloud and container environments.
- Strong problem-solving skills and a proactive approach to automation and optimization.
What makes you stand out
- Extensive experience with Docker building and maintaining images across diverse technologies (MEAN stack Java Python Machine Learning etc.).
- Proficiency with CI/CD tools such as Jenkins GitHub Actions and scripting languages (Python Bash).
- Hands-on experience with Kubernetes Rancher Helm and container orchestration.
- Familiarity with infrastructure automation tools like Ansible.
- Knowledge of cloud services (AWS Azure GCP) for deploying scalable AI/ML workloads.
- Experience with model deployment frameworks and tools supporting MLOps/LLMOps workflows.
- Familiarity with API management (APIGEE) and security tools.
- Experience with monitoring and logging ecosystems (DataDog ElasticSearch Logstash Kibana Grafana).
- Understanding of software security environment management and cost optimization.
Why join our team:
- We help you be your best through professional development opportunities interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues clients and communities.
- Our scale enables us to provide a range of career opportunities as well as benefits and rewards to enhance your well-being.
Marsh McLennan(NYSE: MMC) is the worlds leading professional services firm in the areas ofrisk strategy and people. The Companys more than 85000 colleagues advise clients in over 130 annual revenue of $23 billion Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses.Marshprovides data-driven risk advisory services and insurance solutions to commercial and consumer clients.Guy Carpenter develops advanced risk reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work reshape retirement and investment outcomes and unlock health and well being for a changing workforce. Oliver Wymanserves as a critical strategic economic and brand advisor to private sector and governmental clients. For more information visit or follow us onLinkedInandX.
Marsh McLennan is committed to embracing a diverse inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background caste disability ethnic origin family duties gender orientation or expression gender reassignment marital status nationality parental status personal or social status political affiliation race religion and beliefs sex/gender sexual orientation or expression skin color or any other characteristic protected by applicable law.
Marsh McLennan is committed to hybrid work which includes the flexibility of working remotely and the collaboration connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person
Marsh McLennan (NYSE: MMC) is a global leader in risk strategy and people advising clients in 130 countries across four businesses: Marsh Guy Carpenter Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90000 colleagues Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information visit or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background caste disability ethnic origin family duties gender orientation or expression gender reassignment marital status nationality parental status personal or social status political affiliation race religion and beliefs sex/gender sexual orientation or expression skin color or any other characteristic protected by applicable law.Marsh McLennan is committed to hybrid work which includes the flexibility of working remotely and the collaboration connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.Required Experience:
Senior IC
Employment Type
Full-Time
