uttar pradesh computer scientist Jobs – 114 Open Jobs Today

Senior Machine Learning Operations Engineer
Siemens —Noida, Uttar Pradesh
- Full-time
- Remote
- Computer Science
- DevOps
- Master's degree
Senior Data Engineer
Appsierra —Gautam Buddha Nagar District, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- AWS
Principal consultat- Manager, GenAI Engineer (Cloud: Azure)
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- English
Quick apply
Analyst-Data Management and Analytics-Data Ops/Data Analyst
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
Senior Professional, System and Application
WSP —Noida, Uttar Pradesh
- Hybrid work
- Oracle
- Computer Science
- Analysis skills
Senior AI Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Engineering
Senior Consultant - Information Security
WSP —Noida, Uttar Pradesh
- Rotational shift
- Hybrid work
- Computer Science
- English
- Windows
Senior Engineer - Technical Due Diligence
WSP —Noida, Uttar Pradesh
- Hybrid work
- Civil engineering
- PMP
- Master's degree
Lead Data Scientist 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
9d
AI Lead Engineer / Full-Stack AI-ML Engineer
GC Cloud Info System Pvt.Ltd. —Lucknow, Uttar Pradesh
- Full-time
- Azure
- SQL
- AWS
Quick apply
3710878-Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Java
- Master's degree
Principal Consultant - Cloud & DevOps
WSP —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Computer Science
- DevOps
Senior developer – Python Full stack
WSP —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Computer Science
- SQL
Senior Developer - .Net Full Stack
WSP —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Computer Science
- SQL
Applied AI Scientist, GenAI and ML Prototyping
C2FO —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Doctoral degree
- Computer Science
Quick apply
3642321-Assistant Vice President
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- SQL
- Project management
Annotation Specialist (2D, 3D, LiDAR)
Macgence —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
Data Engineer
RxLogix —Noida, Uttar Pradesh
- Azure
- Oracle
- Computer Science
Senior CAD Technician - Substation
WSP —Noida, Uttar Pradesh
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD
Associate Director- Structures
WSP —Noida, Uttar Pradesh
- Hybrid work
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook

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Senior Machine Learning Operations Engineer

Siemens -
Noida, Uttar Pradesh

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.
7+ 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.

The Brightly culture

We’re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.

Apply Now

Refine Your Search

computer scientist jobs in uttar pradesh

Senior Machine Learning Operations Engineer

Senior Data Engineer

Principal consultat- Manager, GenAI Engineer (Cloud: Azure)

Analyst-Data Management and Analytics-Data Ops/Data Analyst

Senior Professional, System and Application

Senior AI Engineer

Senior Consultant - Information Security

Senior Engineer - Technical Due Diligence

Lead Data Scientist 4C

AI Lead Engineer / Full-Stack AI-ML Engineer

3710878-Lead Assistant Manager

Principal Consultant - Cloud & DevOps

Senior developer – Python Full stack

Senior Developer - .Net Full Stack

Applied AI Scientist, GenAI and ML Prototyping

3642321-Assistant Vice President

Annotation Specialist (2D, 3D, LiDAR)

Data Engineer

Senior CAD Technician - Substation

Associate Director- Structures

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