Mumbai Maharashtra Sr ml & ai engineer Jobs – 96 Open Jobs Today

Custom Software Engineer
Accenture —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Senior Backend Engineer (Python)
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Senior Software Engineer
ICP Worldwide, Inc. —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
- Paid holidays
- Health insurance
Quick apply
Senior Software Engineer - Full Stack
IRIS Business Services —Vashi, Navi Mumbai, Maharashtra
- Full-time
- Engineering
- Master's degree
- Databases
11d
Architect - Machine Learning
Quantiphi —Mumbai, Maharashtra
- Full-time
- Research
- Analysis skills
- Machine learning
Sr. Software Engineer
Nomura —Mumbai, Maharashtra
- Software troubleshooting
- Master's degree
- Databases
Risk Modeling Solutions - Full-stack GenAI - Assistant Vice President
Citi —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
AI Infrastructure Architect
Accenture —Mumbai, Maharashtra
- Full-time
- Computer Science
- Java
- Databases
4d
MLOps Engineer
Fractal Analytics —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Technical Lead – JavaScript Full Stack Developer
T7E —Mulund, Mumbai, Maharashtra
- Computer Science
- Engineering
- Bachelor's degree
1d
RIS AI Architect Senior Manager
Accenture —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Java
Senior Machine Learning Engineer (Library)
Loopio Inc. —Mumbai, Maharashtra
- Full-time
- Remote
- System design
- Master's degree
- Machine learning
- Work from home
Senior Full Stack Engineer in C#/.NET/React and AWS
Institutional Shareholder Services —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
12d
Full Stack Developer (Angular+ Node.js + Postgresql+ Rest API)
Galaxy It Consulting —Andheri East, Mumbai, Maharashtra
- ₹2,00,000 a month
- Azure
- Databases
- AWS
Quick apply
Senior Machine Learning Engineer
Quantiphi —Mumbai, Maharashtra
- Full-time
- Azure
- Master's degree
- Machine learning
Senior Software Engineer - Java Developer
TSS Consultancy Pvt. Ltd. —Mumbai, Maharashtra
- Full-time
- Computer Science
- DevOps
- Java
Quick apply
Senior Full Stack Developer
Smartstream Limited —Mumbai, Maharashtra
- ₹1,00,000 - ₹25,00,000 a year
- Full-time
- Hybrid work
- Computer Science
- Databases
- APIs
Quick apply
1d
Senior Software Engineer - Java
Zycus —Mumbai, Maharashtra
- Full-time
- Java
- Project management
- Mentoring
Senior Research Engineer (Natural Language Processing)
Crimson Interactive —Mumbai, Maharashtra
- Full-time
- Research
- Databases
- C++
VP - KYC Operations Data Lead
Citi —Mumbai, Maharashtra
- Full-time
- SQL
- Machine learning
- APIs

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Custom Software Engineer

Accenture -
Mumbai, Maharashtra

Apply Now

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Azure
Computer Science
React
Kubernetes
Full-stack development
Enterprise Software
DevOps
Encryption
Google Cloud Platform
.NET
Java
Microservices
AWS
Docker
Bachelor's degree
Terraform
Continuous integration
Azure Certification
Back-end development
REST
Angular
APIs
Agile
Kafka
GraphQL
AI
Python
Debugging
AWS Certified Developer – Associate
Identity & access management

Full job description

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Java Full Stack Development
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
Title: Mid-Level Application Architect / Senior Developer
Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.
Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.
Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
The ideal candidate will have robust experience in Java and/or .NET, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments (AWS, Azure, Google Cloud) to deliver scalable, secure enterprise applications.
Proven experience in cloud, DevOps, or AI modernization initiatives.
Strong understanding of LLMs, automation, and engineering toolchains.
Ability to translate AI innovation into business and productivity impact.

Key Responsibilities:
Hands-On Coding: Actively develop, test, and deploy application-heavy solutions, write clean, efficient code in any of the programming language like Java, .NET, and Python for backend systems, and contributing to front-end development using React or Angular.
Solution Design: Partner with senior architects to design scalable, cloud-native application architectures, focusing on performance, maintainability, and integration in multi-cloud environments.
Integration Development: Build and maintain integrations using APIs, microservices, and event-driven patterns (e.g., REST, GraphQL, Kafka, or message queues).
Multi-Cloud Implementation: Develop and deploy applications across AWS, Azure, and Google Cloud, ensuring portability and optimization for cost and performance.
AI Integration: Implement practical AI features (e.g., automation, basic analytics) using cloud-based AI services or frameworks like TensorFlow or PyTorch.
Infrastructure Support: Collaborate with DevOps teams to implement containerized solutions (Docker, Kubernetes) and CI/CD pipelines, with hands-on use of IaC tools like Terraform or CloudFormation.
Performance & Security Optimization: Ensure applications meet performance and security standards through code reviews, testing, and adherence to best practices.
Team Collaboration: Work closely with developers, product managers, and infrastructure teams to translate requirements into technical implementations, providing hands-on support and mentorship.
Continuous Learning: Stay updated on full-stack development trends, cloud technologies, and AI advancements to contribute to innovative solutions.

Qualifications & Skills:
Experience: 7 to 12 years of hands-on experience in full-stack development, with at least 2 years in a lead developer or junior architect role focusing on application-heavy systems.
Demonstrated experience building and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud).
Strong proficiency in Java, .NET, and Python for backend development.
Hands-on experience with front-end frameworks like React, Angular, or similar.
Basic exposure to AI/ML integration, such as using cloud AI services (e.g., AWS SageMaker, Azure AI) or simple ML frameworks.
Practical experience with integration patterns (e.g., REST APIs, message queues) and microservices architecture.
Familiarity with infrastructure tools like Docker, Kubernetes, and IaC (e.g., Terraform, CloudFormation).
Experience with cloud-native services (e.g., AWS Lambda, Azure Functions, GCP Cloud Run).
Working knowledge of DevOps practices, including CI/CD pipelines and monitoring tools.
Understanding of secure coding practices and basic enterprise security standards (e.g., IAM, encryption).

Soft Skills:
Strong debugging and problem-solving skills with a hands-on mindset.
Clear communication to collaborate with technical and non-technical stakeholders.
Ability to juggle hands-on coding with architectural design contributions.
Eagerness to learn and adapt to new tools, frameworks, and cloud technologies.

Education:
Bachelor s degree in computer science, Engineering, or a related field.
Certifications like AWS Certified Developer, Azure Developer Associate, or similar are a plus.

Additional Information:

The candidate should have minimum 5 years of experience in Java Full Stack Development.
This position is based at our Mumbai office.
A 15 years full time education is required.

15 years full time education

Apply Now

Refine Your Search

sr ml & ai engineer jobs in mumbai maharashtra

Custom Software Engineer

Senior Backend Engineer (Python)

Senior Software Engineer

Senior Software Engineer - Full Stack

Architect - Machine Learning

Sr. Software Engineer

Risk Modeling Solutions - Full-stack GenAI - Assistant Vice President

AI Infrastructure Architect

MLOps Engineer

Technical Lead – JavaScript Full Stack Developer

RIS AI Architect Senior Manager

Senior Machine Learning Engineer (Library)

Senior Full Stack Engineer in C#/.NET/React and AWS

Full Stack Developer (Angular+ Node.js + Postgresql+ Rest API)

Senior Machine Learning Engineer

Senior Software Engineer - Java Developer

Senior Full Stack Developer

Senior Software Engineer - Java

Senior Research Engineer (Natural Language Processing)

VP - KYC Operations Data Lead

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