Hr Software engineer ml applications Jobs – 109 Open Jobs Today

Application Support Engineer
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
Software Engineering Manager
ApplyBoard —Gurugram, Haryana
- Full-time
- Management
- Computer Science
- Engineering
Technology Support Engineer
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
AI Engineer - Agentic
Srijan Technologies PVT LTD —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
9d
FPGA RTL Engineer
Logic-fruit Technologies —Gurugram, Haryana
- Oracle
- Master's degree
- Electrical experience
- Health insurance
- Paid time off
Module Lead-ADF +SQL (ML)
Triumph Ladders Pvt. Ltd. —Gurugram, Haryana
- Azure
- Databases
- SQL
Quick apply
AI/ML Engeenier
Colladome IT Network —Gurugram, Haryana
- ₹1,80,000 - ₹2,10,000 a month
- Azure
- Data analysis skills
- System design
Quick apply
R&D IC Engineer 4
Keysight Technologies, Inc. —Gurugram, Haryana
- Part-time
- Remote
- Computer Science
- DevOps
- Master's degree
Senior Software Development Engineer
Expedia —Gurugram, Haryana
- Full-time
- Computer Science
- System design
- Java
Data Science Engineer
V Patrol AI Pvt ltd —Gurugram, Haryana
- ₹3,48,246.23 - ₹6,02,430.41 a year
- Full-time
- Computer Science
- Master's degree
- AWS
Quick apply
AI ENGINEER
ADSPARKX MEDIA —Gurugram, Haryana
- Azure
- Computer Science
- Master's degree
Quick apply
AI Engineer
FinThrive —Gurugram, Haryana
- Azure
- Computer Science
- DevOps
- Health insurance
Quick apply
Associate - Data ML Engineer (Consumer Products AI)
Bain & Co. —Gurugram, Haryana
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Azure
Quick apply
R&D Engineer 4, Software
Keysight Technologies, Inc. —Gurugram, Haryana
- Part-time
- Remote
- Computer Science
- Data analysis skills
- Master's degree
Software Development Engineer III
Expedia —Gurugram, Haryana
- Full-time
- Computer Science
- System design
- Bachelor's degree
3d
Lead AI Engineer - T&T
McCormick & Company —Gurugram, Haryana
- Urgently hiring
- Azure
- Master's degree
- Databases
- Health insurance
- Paid time off
Machine Learning Engineer II
Expedia —Gurugram, Haryana
- Full-time
- Computer Science
- Master's degree
- SQL
Senior Data Science Engineer
N-iX —Haryana
- Remote
- ERP systems
- English
- Databases
Quick apply
3d
Senior AI Engineer
Weekday —Gurugram, Haryana
- ₹12,00,000 - ₹25,00,000 a year
- Full-time
- Hybrid work
- Azure
- Java
- Master's degree
Quick apply
12h
Tech Lead (AI) - Engineering
Oxane Partners —Gurugram, Haryana
- Full-time
- Azure
- System design
- AWS

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Application Support Engineer

Accenture -
Gurugram, Haryana

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Cloud infrastructure
Azure
Cloud architecture
Node.js
Law
Computer Science
Software Engineering
React
Kubernetes
Ansible
Full-stack development
DevOps
Microsoft SQL Server
NoSQL
PaaS
Git
Google Cloud Platform
MongoDB
Java
Master's degree
Microservices
RBAC
AWS
Docker
Bachelor's degree
JavaScript
PostgreSQL
Terraform
Continuous integration
Azure Certification
Natural language processing
APIs
DynamoDB
Flask
AI
Python
MySQL
AWS Certified Solutions Architect – Professional

Full job description

Project Role : Application Support Engineer
Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems.
Must have skills : Microsoft Azure PaaS
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary

AI Powered Tech Talent

The Cognitive PaaS Full Stack Engineer designs and develops cognitive cloud applications and services aranging from user interfaces to API layers and AI integration middleware. The engineer works across front-end, back-end, and cloud infrastructure layers to deliver intelligent, data-driven solutions that leverage AI/ML models, agentic workflows, and cognitive automation frameworks.

Key Responsibilities:

Design, develop, and maintain end-to-end cognitive PaaS applications integrating intelligence into traditional web stacks.
Develop and manage full stack infrastructure Application including backend services (APIs, microservices) and API gateway for frontend and backend services.
Develop cloud-native back-end services using Node.js, Python (FastAPI, Flask), or Java to connect AI models with application logic.
Integrate AI/ML models (TensorFlow, PyTorch, scikit-learn) into production-ready APIs and microservices.
Knowledge of Application Architecture Microservices vs Event Driven Architecture Vs Cloud Based Architecture Vs Cloud native architecture
Good experience in application modernization support, deploy, manage and maintain cloud native applications on Paas/ Cloud Native Architecture
Cloud Data Security knowledge and experience in implementing Data Security practices
Write efficient, maintainable code and manage integration between front-end interfaces and back-end infrastructure services.
Collaborate with product, design, ML, and DevOps teams to build intelligent workflows and user experiences
Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, AZURE DEV OPS or Pulumi.

- Deploy and manage Platform-as-a-Service (PaaS) offerings.

Design, implement, and maintain database solutions, including relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, DynamoDB)
Collaborate with DevOps, security, and development teams to ensure seamless integration and delivery.
Ensure platform observability via metrics, logging, and monitoring frameworks (e.g., Prometheus, ELK, CloudWatch).
Manage containerization and orchestration using Docker and Kubernetes.
Ensure compliance with security best practices and organizational policies.
Continuously evaluate and implement new cloud technologies and tools to improve efficiency.
Provide technical guidance and support to team members and stakeholders.
Integrate and support AI-driven tools and frameworks, including Generative AI and Agentic AI technologies, within cloud infrastructure and applications.

Required Skills:
- Strong proficiency in cloud platforms - AWS, Azure, and Google Cloud.

Bachelors or Masters degree in Computer Science, Software Engineering, or related field.
Strong in JavaScript (React, Node.js) and Python (Flask, FastAPI) development.
Experience developing and deploying cognitive or AI-driven microservices.
Proficiency in cloud platforms (AWS Lambda, Azure Cognitive Services, or Google Vertex AI).
Familiarity with platform engineering principles API management, service mesh, observability, and IaC (Terraform, Ansible).
Understanding of NLP, LLM integration, and generative AI architectures for PaaS environments.
Hands-on experience with DevOps practices CI/CD pipelines, version control (Git), and container orchestration.
Experience with security frameworks including OAuth2, JWT, and RBAC for multi-tenant systems.

Certifications (Required / Preferred):

AWS Certified Solutions Architect Professional
Microsoft Certified: Azure Solutions Architect Expert
Google Professional Cloud Architect
Certified Kubernetes Administrator (CKA)
HashiCorp Certified: Terraform Associate
Certified DevOps Engineer certifications (AWS, Azure, or Google)
Resource needs to be AI Ready.

15 years full time education

Apply Now

Refine Your Search

software engineer ml applications jobs in hr

Application Support Engineer

Software Engineering Manager

Technology Support Engineer

AI Engineer - Agentic

FPGA RTL Engineer

Module Lead-ADF +SQL (ML)

AI/ML Engeenier

R&D IC Engineer 4

Senior Software Development Engineer

Data Science Engineer

AI ENGINEER

AI Engineer

Associate - Data ML Engineer (Consumer Products AI)

R&D Engineer 4, Software

Software Development Engineer III

Lead AI Engineer - T&T

Machine Learning Engineer II

Senior Data Science Engineer

Senior AI Engineer

Tech Lead (AI) - Engineering

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