Delhi, Dl Python developer Jobs – 105 Open Jobs Today

Senior Machine Learning Operations Engineer
Siemens —Delhi, Delhi
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Master's degree
13d
Associate (Frontend Developer) - CE Customer CoE
Bain & Company Inc —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- AWS
12d
Deployment developer
Seven Star Web solutions —Delhi, Delhi
- Full-time
- AWS
- JavaScript
- Python
Product Developer
Certcube Labs —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- AWS
Quantitative Developer (New Delhi)
Open Futures & Commodities —Delhi, Delhi
- Computer Science
- C++
- Computer networking
MLOps Engineer
NTT Ltd —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
MLOps Engineer
NTT DATA —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
IBM ITX Developer
Phygital Insights —Delhi, Delhi
- Full-time
- Java
- SQL
- Presentation skills
Full Stack Developer (Location-Delhi)
Staybook.in —Paharganj, Delhi, Delhi
- ₹12,000 - ₹50,000 a month
- Full-time
- Computer Science
- DevOps
- Master's degree
Quick apply
Senior Software Development Engineer in Test (Automation, Python), Trading Technologies
Binance —Delhi, Delhi
- Full-time
- Remote
- English
- Software development
- APIs
- Work from home
Quick apply
15h
AI Conversational Chatbot Developer
Benovymed Healthcare —Delhi, Delhi
- Master's degree
- AWS
- Bachelor's degree
AWS Devops Engineer(Remote)
Nexifyr Consulting Pvt Ltd —Delhi, Delhi
- Full-time
- Remote
- Computer Science
- DevOps
- AWS
Quick apply
Odoo Developer
Prish Accounting and Auditing LLC —Rohini, Delhi, Delhi
- ₹20,000 - ₹30,000 a month
- Full-time
- Computer Science
- Bachelor's degree
- JavaScript
Quick apply
Tech Lead / Software Development Engineer III
Safe Securities —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
- Health insurance
AI Project Manager
Techmagnate —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- PMP
4d
Junior PHP Developer
go4WorldBusiness.com —Delhi, Delhi
- Full-time
- Computer Science
- System design
- AWS
Full Stack Developer
Imurgence —Delhi, Delhi
- Java
- Master's degree
- Databases
Remote - Application Development Analyst
World Business Lenders, LLC —Delhi, Delhi
- Monday to Friday
- Remote
- Computer Science
- English
- Bachelor's degree
- Paid time off
Quick apply
Full-Stack Developer
Darkroom —Delhi, Delhi
- Full-time
- Remote
- APIs
- AI
- Python
- Paid time off
12d
Full Stack Developer (Backend)
RevenueBase Inc —Delhi, Delhi
- Full-time
- Remote
- Azure
- AWS
- APIs
- Flexible schedule
Quick apply

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Senior Machine Learning Operations Engineer

Siemens -
Delhi, Delhi

Apply Now

Job details

Permanent | Full-time
13 days ago

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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python developer jobs in delhi, dl

Senior Machine Learning Operations Engineer

Associate (Frontend Developer) - CE Customer CoE

Deployment developer

Product Developer

Quantitative Developer (New Delhi)

MLOps Engineer

MLOps Engineer

IBM ITX Developer

Full Stack Developer (Location-Delhi)

Senior Software Development Engineer in Test (Automation, Python), Trading Technologies

AI Conversational Chatbot Developer

AWS Devops Engineer(Remote)

Odoo Developer

Tech Lead / Software Development Engineer III

AI Project Manager

Junior PHP Developer

Full Stack Developer

Remote - Application Development Analyst

Full-Stack Developer

Full Stack Developer (Backend)

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