
Review Criteria:
- Strong MLOps profile
- 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
- 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
- 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
- Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
- Must have hands-on Python for pipeline & automation development
- 4+ years of experience in AWS cloud, with recent companies
- (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth
Preferred:
- Hands-on in Docker deployments for ML workflows on EKS / ECS
- Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
- Experience with CI / CD / CT using GitHub Actions / Jenkins.
- Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
- Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.
Job Specific Criteria:
- CV Attachment is mandatory
- Please provide CTC Breakup (Fixed + Variable)?
- Are you okay for F2F round?
- Have candidate filled the google form?
Role & Responsibilities:
We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.
Key Responsibilities:
- Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
- Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
- Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
- Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
- Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
- Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
- Collaborate with data scientists to productionize notebooks, experiments, and model deployments.
Ideal Candidate:
- 8+ years in MLOps/DevOps with strong ML pipeline experience.
- Strong hands-on experience with AWS:
- Compute/Orchestration: EKS, ECS, EC2, Lambda
- Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
- Workflow: MWAA/Airflow, Step Functions
- Monitoring: CloudWatch, OpenSearch, Grafana
- Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
- Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
- Strong Linux, scripting, and troubleshooting skills.
- Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.
Education:
- Master’s degree in computer science, Machine Learning, Data Engineering, or related field.

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Position Overview:
As a BI (Business Intelligence) Developer, they will be responsible for designing,
developing, and maintaining the business intelligence solutions that support data
analysis and reporting. They will collaborate with business stakeholders, analysts, and
data engineers to understand requirements and translate them into efficient and
effective BI solutions. Their role will involve working with various data sources,
designing data models, assisting ETL (Extract, Transform, Load) processes, and
developing interactive dashboards and reports.
Key Responsibilities:
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their data analysis and reporting needs. Translate these requirements into
technical specifications and develop appropriate BI solutions.
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the underlying business processes and facilitate data analysis and reporting.
Ensure data integrity, accuracy, and consistency within the data models.
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dashboards and reports using Sigma computing.
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standards. Implement appropriate security measures to protect sensitive data.
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models, ETL processes, and BI solution configurations.
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9. Should be able to create and own Business/ Functional Requirement
Documents.
10. Monitor or track project milestones and deliverables.
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1. Master/ Bachelor’s degree in IT or relevant and having a minimum of 2-4 years of
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Community & Events Associate
📍 Gurugram | Hybrid | Full-time
About Renous
At Renous, we work closely with senior enterprise leaders through curated roundtables and leadership discussions across GCCs, AI, digital transformation, and enterprise functions. We create high-quality, invite-only experiences that enable meaningful peer conversations and industry networking.
Role Overview
We are looking for a proactive and people-oriented Community & Events Associate to support the execution of leadership roundtables, community engagement, and stakeholder coordination.
This role is ideal for someone who enjoys interacting with professionals, managing conversations, coordinating events, and ensuring seamless participant experiences.
Key Responsibilities
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Who Should Apply
- 1–3 years of experience in events, community management, recruitment, coordination, operations, client servicing, or similar roles
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Preferred Skills
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Location & Working Model
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Location: Bangalore
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Tools: Git & RestAssured
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If you're ready for your next challenge, please send your resume to:
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Job Description:
This is an exciting opportunity to come and lead growth for a fast scaling start-up and create meaningful impact in the education space. It will be a truly global experience in driving growth for company across all major geographies - United States, Latin America, Europe, Middle East & Asia Pacific. And also a chance to work with a very diverse and motivated team at the company.
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Your responsibilities will include:
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Insights or competitive landscape. These will be the power behind everything we do.
Growth
You will be responsible for defining our growth strategy, coordinating and executing growth
plans, and optimising our funnel to meet revenue targets. Our ambitions are big and so will be the scale of this role - from our current 25000+ educators to 60 million globally.
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determine which of these we should spend resources on and which we should not.
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