Delhi Zoo Delhi Senior engineer devops, machine learning operations Jobs – 319 Open Jobs Today

Senior Machine Learning Operations Engineer
Siemens —Delhi, Delhi
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Master's degree
Director, Global Service Delivery - APAC based
Siemens —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer Science
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Saxo Bank —Gurugram, Haryana
- Full-time
- DevOps
- Analysis skills
- APIs
Senior Engineer-Devops, Machine Learning Operations
BOLD LLC —Noida, Uttar Pradesh
- DevOps
- AWS
- Machine learning
- Health insurance
- Paid time off
Lead AI Engineer — Agentic AI & Machine Learning
Trexova Wellbeing Pvt Ltd —Delhi, Delhi
- From ₹25,00,000 a year
- Full-time
- Azure
- Master's degree
- SQL
Quick apply
6d
Lead DevOps Engineer / Senior DevOps Engineer
POSist Technologies —Delhi, Delhi
- Full-time
- Azure
- DevOps
- AWS
Senior DevOps / Infrastructure Engineer
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
Senior DevOps Engineer
Coredge —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Software troubleshooting
- DevOps
Senior DevOps Engineer
SBS —Noida, Uttar Pradesh
- Azure
- Computer Science
- DevOps
- Paid time off
Senior Quality Assurance Engineer
Friends Color Images —Noida, Uttar Pradesh
- Full-time
- Analysis skills
- Mentoring
- APIs
- Commuter assistance
- Health insurance
14d
Senior Machine Learning Engineer
Siemens —Noida, Uttar Pradesh
- Full-time
- Remote
- Computer Science
- Master's degree
- AWS
Sr. Engineer - DevOps 4B
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
Quick apply
Senior DevOps Engineer
Lab49 —Noida, Uttar Pradesh
- Full-time
- Java
- AWS
- Scripting
Service Delivery Program Manager
TELUS Digital —Noida, Uttar Pradesh
- ₹45,00,000 - ₹60,00,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Senior DevOps Engineer - Compute Platforms | India
Five9 —Delhi, Delhi
- Computer Science
- DevOps
- Master's degree
Senior DevOps Engineer
ShyftLabs —Noida, Uttar Pradesh
- Full-time
- Software troubleshooting
- DevOps
- AWS
Quick apply
QA Hybrid - Senior Engineer
Iris Software —Noida, Uttar Pradesh
- Java
- SQL
- Analysis skills
- Health insurance
18h
Senior DevOps Engineer
Hupo —Delhi, Delhi
- Remote
- Azure
- DevOps
- AWS
Senior DevOps Engineer
Aligerous —Noida, Uttar Pradesh
- ₹22,00,000 - ₹25,00,000 a year
- Full-time
- DevOps
- AWS
- Scripting
Quick apply
Senior DevOps Engineer
Networked Energy Services —Delhi, Delhi
- Azure
- DevOps
- English

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Senior Machine Learning Operations Engineer

Siemens -
Delhi, Delhi

Apply Now

Job details

Permanent | Full-time

Qualifications

CI/CD
Cloud infrastructure
Computer Science
DevOps
Spark
Encryption
System architecture
Git
Master's degree
AWS
Docker
Bachelor's degree
Machine learning
Terraform
Continuous integration
Computer networking
GitHub
S3
Data science
Redshift
AI
Python
Identity & access management

Full job description

About Brightly Software

Brightly Software is a leader in intelligent asset management and operational optimization, empowering organizations with data‑driven insights. As we expand our AI and ML capabilities, we are seeking a Senior MLOps Engineer to build and scale the infrastructure that powers our next generation of predictive and autonomous solutions.

Role Overview

As a Senior MLOps Engineer, you will architect, develop, and operate end‑to‑end machine learning infrastructure on AWS. You will work at the intersection of ML engineering, cloud infrastructure, and developer productivity—enabling Brightly's data science teams to move seamlessly from experimentation to reliable, secure, and cost‑efficient production systems.

Your work will ensure that ML models and data pipelines are scalable, observable, and compliant with best‑in‑class MLOps practices.

Key Responsibilities

ML Platform & Infrastructure (AWS‑focused)

Design, build, and operate ML/AI development platforms on AWS, leveraging services such as Amazon SageMaker (Studio, Training, Real‑Time & Async Inference, Pipelines, Feature Store), S3, Glue, Lambda, ECS/EKS, and related cloud infrastructure.
Implement infrastructure‑as‑code using Terraform or equivalent, and manage workflow orchestration using AWS Step Functions or Airflow.\

Data & Model Pipelines

Build automated data ingestion and transformation pipelines using S3, Glue, EMR/Spark, and Redshift, incorporating data quality and lineage tooling (e.g., Great Expectations, Deequ).

CI/CD for Machine Learning

Develop CI/CD pipelines for ML with CodeBuild, CodePipeline, or GitHub Actions, integrating unit tests, data contract checks, model validation, canary/shadow deployments, and automated rollback strategies.

Model Deployment & Operations

Deploy real‑time inference endpoints (SageMaker endpoints or FastAPI‑based services on Lambda/ECS/EKS) and scalable batch processing jobs.
Define SLOs, implement autoscaling, and drive cost/performance optimizations across ML workloads.

Monitoring, Observability & Governance

Implement production monitoring for drift, bias, and performance using SageMaker Model Monitor and service telemetry tools like CloudWatch, Prometheus, and Grafana.
Enforce security and governance best practices, including least‑privilege IAM, VPC‑isolated architectures, encryption, and secret management.

Cross‑Functional Collaboration

Partner closely with data scientists, ML engineers, and backend engineers to productionize ML models and streamline development workflows.
Contribute to the integration of emerging GenAI workloads, including Amazon Bedrock, vector databases (e.g., OpenSearch), and RAG pipelines.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
10+ years of professional experience in ML engineering, DevOps, cloud engineering, or MLOps roles, with at least 3 years in a senior or lead capacity.
3+ years of proven track record in designing and architecting robust, scalable ML systems and infrastructure in cloud environments, particularly on AWS.
5+ years of deep experience building on the AWS ML ecosystem, including SageMaker, S3, Lambda, ECR, EKS/ECS, Step Functions, IAM, VPC networking, and CI/CD tooling.
3+ years of hands-on experience deploying, maintaining, and scaling ML models in production environments.
3+ years of strong Python development skills and familiarity with Docker‑based workflows.
5+ years of solid understanding of ML lifecycles, model evaluation, and monitoring patterns.
5+ years of extensive experience with infrastructure‑as‑code (Terraform, CloudFormation).
5+ years of expertise in designing system architecture for ML platforms, including microservices, container orchestration, and cloud networking.
3+ years of familiarity with MLOps best practices as defined by AWS and industry standards.
2+ years of experience with data quality frameworks (Great Expectations, Deequ).
2+ years of experience optimizing distributed training workflows on AWS.
3+ years of knowledge of security and compliance requirements for ML in enterprise settings, such as IAM, encryption, and secret management.
2+ years of experience with monitoring tools (CloudWatch, Prometheus, Grafana) and implementing model observability solutions.
5+ years of effective cross-functional collaboration skills, working closely with data scientists, ML engineers, and software engineers to deliver production-grade ML solutions.
7+ years of excellent problem-solving and communication abilities, with a focus on delivering scalable, reliable, and cost-effective ML platforms.

Apply Now

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senior engineer devops, machine learning operations jobs in delhi zoo delhi

Senior Machine Learning Operations Engineer

Director, Global Service Delivery - APAC based

Senior Site Reliability Engineer (SRE) – Observability & Platform Systems

Senior Engineer-Devops, Machine Learning Operations

Lead AI Engineer — Agentic AI & Machine Learning

Lead DevOps Engineer / Senior DevOps Engineer

Senior DevOps / Infrastructure Engineer

Senior DevOps Engineer

Senior DevOps Engineer

Senior Quality Assurance Engineer

Senior Machine Learning Engineer

Sr. Engineer - DevOps 4B

Senior DevOps Engineer

Service Delivery Program Manager

Senior DevOps Engineer - Compute Platforms | India

Senior DevOps Engineer

QA Hybrid - Senior Engineer

Senior DevOps Engineer

Senior DevOps Engineer

Senior DevOps Engineer

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