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MLOps Engineer
AdTech Industry
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MLOps Engineer

at AdTech Industry

Agency job
8 - 12 yrs
₹60L - ₹80L / yr
Noida
Skills
Apache Airflow
Apache Spark
AWS CloudFormation
MLOps
DevOps
skill iconMachine Learning (ML)
EMR
skill iconAmazon Web Services (AWS)
skill iconElastic Search
ECS
AWS Lambda
athena
Amazon Redshift
Amazon S3
skill iconPython
skill icongrafana
prometheus
skill iconGitHub
skill iconJenkins
Linux/Unix
Scripting
TensorFlow
PyTorch
Scikit-Learn
skill iconDocker
skill iconKubernetes
skill iconGit
CI/CD

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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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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- Cash and high growth equity.

- We pay good cash and our equity is growing at a very fast pace.

- We have a good team, proven business, and ample capital. Thus, the downside risk is low and upside potential is high.

- We are accelerating full throttle.

- This is the best stage to join a startup.

- Positive culture.

- We believe new ideas can come from everywhere, so we are always on the lookout. Instead of carrot and stick approach, we appeal to internal motivation to excel.

- We are strong team players - we build on each other's strengths and have each other's back in failures.

Requirements :

- Innovative and self-motivated with passion to develop complex and scalable applications.

- 2-5 years of experience in software development with strong focus on algorithms and data structures.

- Strong coding and design skills with prior experience in developing scalable & high availability applications using Core Java/J2EE, Spring, Hibernate.

- Work experience with Relational databases is required (Primarily MySQL).

- Prior work experience with Non-Relational databases (primarily Redis, MongoDb) is an added plus.

- Strong Analytical and Problem Solving Skills.

- B Tech/BCA from IIT or BE in computer science from a top REC/NIT.

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
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