Mitraon Delhi Python & ai backend engineer Jobs – 109 Open Jobs Today

Senior Machine Learning Operations Engineer
Siemens —Delhi, Delhi
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Master's degree
Associate – Data Engineer (Data Business CoE)
Bain & Company Inc —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- Master's degree
QA Engineer
Stashfin —Gurugram, Haryana
- Full-time
- Java
- SQL
- Analysis skills
Quick apply
Developer - Cloud Technologies N 4A
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
14d
Associate – Data Engineer (Data Business CoE)
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Back-End Developer
Saarthee —Gurugram, Haryana
- Azure
- Computer Science
- Java
Quick apply
Associate- Full-Stack Engineer(Retail)
Bain & Company Inc —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- Master's degree
5d
Software Engineer, Data Infrastructure & Acquisition - Delhi, India
Speechify —Delhi, Delhi
- Remote
- Doctoral degree
- Computer Science
- B.Sc
14d
Full Stack Developer (Backend)
RevenueBase Inc —Delhi, Delhi
- Full-time
- Remote
- Azure
- AWS
- APIs
- Flexible schedule
Quick apply
Senior Associate Full stack + AI (Consumer Products AI)
Bain & Company Inc —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
DevOps Engineer
NAVVYASA CONSULTING PRIVATE LIMITED —Gurugram, Haryana
- Full-time
- Azure
- DevOps
- AWS
Quick apply
Sr.Full Stack Engineer-Frontend -Backend
Benovymed Healthcare —Delhi, Delhi
- Part-time
- AWS
- Bachelor's degree
- APIs
Senior Payments Engineer — Acquiring & Payment Processing
Sezzle —Delhi, Delhi
- ₹5,000 - ₹9,500 a month
- Full-time
- Remote
- Computer Science
- DevOps
- Research
S&C Global Network - AI - Song - Growth Analytics- Associate Manager
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Java
Project Research Scientist-I
Indraprastha Institute of Information Technology —West District, Delhi
- ₹56 an hour
- Computer science
- Master's degree
- Analysis skills
Senior Associate Full stack + AI (Consumer Products AI)
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Risk Analytics - Full Stack Engineer - Senior
EY —Gurugram, Haryana
- Azure
- DevOps
- AWS
- Health insurance
Lead Data Engineer
Srijan Technologies PVT LTD —Gurugram, Haryana
- Hybrid work
- Azure
- Software troubleshooting
- SQL
Quick apply
Full Stack Engineer
AHEAD —Gurugram, Haryana
- Full-time
- Remote
- Azure
- Computer Science
- Software troubleshooting
Developer II
United Airlines —Gurugram, Haryana
- Full-time
- Azure
- Oracle
- Java
- Health insurance

I want to receive the latest job alerts for python & ai backend engineer in mitraon delhi

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

python & ai backend engineer jobs near mitraon delhi

Full Stack Developer jobs in Delhi, Delhi

Back End Developer jobs in Delhi, Delhi

Devops Engineer jobs in Gurugram, Haryana

Senior Process Engineer jobs in Delhi, Delhi

Full Stack Developer jobs in Gurugram, Haryana

Machine Learning Engineer jobs in Delhi, Delhi

Data Engineer jobs in Delhi, Delhi

Research Scientist jobs in West District, Delhi

Software Engineer jobs in Delhi, Delhi

Full Stack Developer jobs in Thane, Maharashtra

Full Stack Developer jobs in Coimbatore, Tamil Nadu

Full Stack Developer jobs in Nagpur, Maharashtra

Full Time jobs in Kolhapur, Maharashtra

Full Stack Developer jobs in Gurgaon, Haryana

Full Stack Developer jobs in Borivali, Mumbai, Maharashtra

Mern Stack jobs in Mohali, Punjab

Full Time jobs in Shimla, Himachal Pradesh

Back End Developer jobs in Hyderabad, Telangana

Php Developer jobs in Ahmedabad, Gujarat

Net Developer jobs in Surat, Gujarat

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

Refine Your Search

python & ai backend engineer jobs in mitraon delhi

Senior Machine Learning Operations Engineer

Associate – Data Engineer (Data Business CoE)

QA Engineer

Developer - Cloud Technologies N 4A

Associate – Data Engineer (Data Business CoE)

Back-End Developer

Associate- Full-Stack Engineer(Retail)

Software Engineer, Data Infrastructure & Acquisition - Delhi, India

Full Stack Developer (Backend)

Senior Associate Full stack + AI (Consumer Products AI)

DevOps Engineer

Sr.Full Stack Engineer-Frontend -Backend

Senior Payments Engineer — Acquiring & Payment Processing

S&C Global Network - AI - Song - Growth Analytics- Associate Manager

Project Research Scientist-I

Senior Associate Full stack + AI (Consumer Products AI)

Risk Analytics - Full Stack Engineer - Senior

Lead Data Engineer

Full Stack Engineer

Developer II

I want to receive the latest job alerts for python & ai backend engineer in mitraon delhi

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected