Senior/Architect ServiceNow Developer ([email protected])

Role - MLops Engineer

Location - Pune, Gurgaon, Noida, Bhopal, Bangalore 

Mode - Hybrid

Role Overview

We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving.

Key Responsibilities

• Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring.
• Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems.
• Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker.
• Automate ML workflows using CI/CD best practices and tools.
• Ensure model reproducibility, governance, and performance tracking.
• Monitor deployed models for data drift, model decay, and performance metrics.
• Implement robust versioning and model registry systems.
• Apply security, performance, and compliance best practices across ML systems.
• Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities.

Required Skills & Qualifications

• 4+ years of experience in Software Engineering or MLOps, preferably in a production environment.
• Proven experience with AWS services, especially AWS Sagemaker for model development and deployment.
• Working knowledge of AWS DataZone (preferred).
• Strong programming skills in Python, with exposure to R, Scala, or Apache Spark.
• Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes).
• Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools.
• Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline.
• Solid understanding of DevOps and cloud-native infrastructure practices.
• Excellent problem-solving skills and the ability to work collaboratively across teams.

AEM including AEM 6.x .

· Strong hands on experience of Components, Templates, Taxonomy, metadata management, Forward and Reverse Replication, Workflows, Content Publishing and unpublishing, Tagging, Analytics, Deployment(Maven) and Content migration/ planning. · Significant hands-on design experience with AEM and very strong concepts of OSGi, Apache Sling, Apache Sightly, Apache Oak and Adobe Dispatcher

· Has worked on and implemented at least one of the popular Search engines with AEM like Solr, ElasticSearch or Lucene and involved in search queries performance tuning.

· Worked on integrations with popular products /Technologies like Salesforce, SSO, LDAP, API Gateways using ReST · Understands and implements the Quality Properties of the system in every day work including Accessibility, SEO, URL management, Security, Performance and Responsive architecture.

· Has implemented Quality Processes for projects like Continuous Integration (Bamboo/Jenkins/Git/BitBucket/Cloud Manager), SonarQube, Code reviews (Manual and Automated), code Formatters, Automation testing etc.

· Understanding of frontend technologies like Bootstrap, Backbone.js, ReactJS, Handlebars, Grunt, Angular, CSS3, HTML 5 and jQuery.

· Mastery of all core web and Java technologies including java 8/11, JEE, XML, XHTML, client/server-side scripting languages such as JavaScript, and JSP, and web services development using Restful implementations.

· Good understanding of AEM capabilities including Multi-site manager and Blueprinting, and the use of Online marketing components such as advanced targeting/personalization, and multi-variate testing, is preferred.

· Proficient knowledge of the end to end content lifecycle, web content management, content publishing/deployment, and delivery processes.

· Familiarity of Cloud native approaches and platforms including AWS, Azure or GCP.

· Familiarity with basics of Adobe I/O Runtime and Adobe I/O Events (preferred)

· Good understanding of integration patterns and content-centric application development patterns using AEM Search, Commerce package or others platforms is preferred. Education:

· Full time Bachelor’s/Master’s degree(Science or Engineering preferred)

Job Responsibilities:

Section 1 -

- Responsible for managing and providing L1 support to Build, design, deploy and maintain the implementation of Cloud solutions on AWS.
- Implement, deploy and maintain development, staging & production environments on AWS.
- Familiar with serverless architecture and services on AWS like Lambda, Fargate, EBS, Glue, etc.
- Understanding of Infra as a code and familiar with related tools like Terraform, Ansible Cloudformation etc.

Section 2 -

- Managing the Windows and Linux machines, Kubernetes, Git, etc.
- Responsible for L1 management of Servers, Networks, Containers, Storage, and Databases services on AWS.

Section 3 -

- Timely monitoring of production workload alerts and quick addressing the issues
- Responsible for monitoring and maintaining the Backup and DR process.

Section 4 -

- Responsible for documenting the process.
- Responsible for leading cloud implementation projects with end-to-end execution.

Qualifications: Bachelors of Engineering / MCA Preferably with AWS, Cloud certification

Skills & Competencies

- Linux and Windows servers management and troubleshooting.

- AWS services experience on CloudFormation, EC2, RDS, VPC, EKS, ECS, Redshift, Glue, etc. - AWS EKS

- Kubernetes and containers knowledge

- Understanding of setting up AWS Messaging, streaming and queuing Services(MSK, Kinesis, SQS, SNS, MQ)

- Understanding of serverless architecture. - High understanding of Networking concepts

- High understanding of Serverless architecture concept - Managing to monitor and alerting systems

- Sound knowledge of Database concepts like Dataware house, Data Lake, and ETL jobs

- Good Project management skills

- Documentation skills

- Backup, and DR understanding

Soft Skills - Project management, Process Documentation

Ideal Candidate:

- AWS certification with between 2-4 years of experience with certification and project execution experience.

- Someone who is interested in building sustainable cloud architecture with automation on AWS.

- Someone who is interested in learning and being challenged on a day-to-day basis.

- Someone who can take ownership of the tasks and is willing to take the necessary action to get it done.

- Someone who is curious to analyze and solve complex problems.

- Someone who is honest with their quality of work and is comfortable with taking ownership of their success and failure, both.

Behavioral Traits

- We are looking for someone who is interested to be part of creativity and the innovation-based environment with other team members.

- We are looking for someone who understands the idea/importance of teamwork and individual ownership at the same time.

- We are looking for someone who can debate logically, respectfully disagree, and can admit if proven wrong and who can learn from their mistakes and grow quickly

About the company:

Company is building a math-learning platform with a meticulously designed curriculum that helps students become 4x quicker and better at math by nurturing their cognitive abilities and building their core math acumen.

Responsibilities:

• Lead technical direction, delivery and execution of technology roadmap, geared towards our overall vision
• Provide senior technical leadership at the highest levels in strong engineering culture
• Experience developing desktop and mobile applications
• Manage a team of around 10 engineers at various level of experience
• Experience working with Product Managers and UX Designers
• High level of maturity in delivery management in terms of project planning, execution, quality and stakeholder expectation management
• Regularly review team performance, collaborate with them on improvement initiatives/experiments and understand the data, team and workflow
• Attract, recruit, retain, and develop top engineering talent
• Foster a culture of risk taking and be able to celebrate failures
• Lead accountability, autonomy, and empowerment within your teams and manage the appropriate boundaries to achieve the result of having self-directed work teams