siruseri chennai tamil nadu machine learning engineer Jobs – 151 Open Jobs Today

Forward Deployed Engineer (FDE)
Prodapt —Guindy, Chennai, Tamil Nadu
- Azure
- English
- AWS
3h
On the Job Training
EagleHiTech Softclou PVt LtD —Kodambakkam, Chennai, Tamil Nadu
- Remote
- AWS
- Bachelor's degree
- AI
Quick apply
11h
Hardware Engineer
DECCAN MEDICAL SYSTEMS —Saligramam, Chennai, Tamil Nadu
- Full-time
- Bachelor's degree
- In-person
- AI
Quick apply
2d
SLP Cluster Manager, South Region, India SLP
ASSPL - Tamil Nadu —Royapettah, Chennai, Tamil Nadu
- Full-time
- Microsoft Excel
- Management
- Research
Software Engineer - Testing
Cotyledon Technologies Private Limited —Medavakkam, Chennai, Tamil Nadu
- ₹5,000 - ₹12,000 a month
- Full-time
- Java
- APIs
- In-person
Quick apply
9h
Software Trainer
Apollo Computer Education Ltd —Vadapalani, Chennai, Tamil Nadu
- Full-time
- Microsoft Excel
- Java
- C++
Quick apply
8d
Senior Software Engineer - Backend
Amura Health —Velachery, Chennai, Tamil Nadu
- ₹10,00,000 - ₹40,00,000 a year
- Full-time
- Hybrid work
- Computer Science
- Databases
- SQL
- Health insurance
- Life insurance
Quick apply
8d
Bank Application Testing (AI Developer)
Futuretech corporate solutions —Thousand Lights, Tamil Nadu
- ₹15,00,000 - ₹20,00,000 a year
- Full-time
- In-person
- AI
- Banking
Quick apply
11d
Data Engineer
Agilisium —Saidapet, Chennai, Tamil Nadu
- Full-time
- Azure
- SQL
- AWS
Cloud Engineer II- (CE II)
1CloudHub —Guindy, Chennai, Tamil Nadu
- Email
- Azure
- Windows
- AWS
- Health insurance
Graphic Designer
Roofvest Realestate LLP —Madipakkam, Chennai, Tamil Nadu
- ₹20,000 - ₹30,000 a month
- Full-time
- In-person
- AI
- Communication skills
Quick apply
1d
DevOps Engineer
1CloudHub —Guindy, Chennai, Tamil Nadu
- Azure
- Software troubleshooting
- DevOps
- Health insurance
Python Developer
Movate —Guindy, Chennai, Tamil Nadu
- SQL
- AWS
- Bachelor's degree
Cloud Computing- AWS + DevOps / Azure Part Time Trainer
SK Technologies —Ekkaduthangal, Chennai, Tamil Nadu
- Up to ₹7,000 a month
- Part-time
- Azure
- DevOps
- AWS
Quick apply
Java Core
Prodapt —Guindy, Chennai, Tamil Nadu
- Remote
- Software troubleshooting
- Java
- SQL
Digital Marketing & Creative Specialist
Techfruits Solutions Private Limited —Velachery, Chennai, Tamil Nadu
- ₹28,000 - ₹35,000 a month
- Full-time
- Social media management
- In-person
- AI
- Cell phone reimbursement
Quick apply
8d
Python Developer
Talentegrity Consulting Services —Thoraipakkam, Chennai, Tamil Nadu
- ₹6,00,000 - ₹12,00,000 a year
- Azure
- DevOps
- AWS
Graphic Designer
247 HealthMedPro —Thoraipakkam, Chennai, Tamil Nadu
- ₹20,000 - ₹30,000 a month
- Full-time
- Bachelor's degree
- In-person
- AI
- Health insurance
- Food provided
Quick apply
13d
Embedded BIOS
MulticoreWare —Ramapuram, Chennai, Tamil Nadu
- Full-time
- Linux
AI/ML Compiler Engineer
MulticoreWare —Ramapuram, Chennai, Tamil Nadu
- Full-time
- Doctoral degree
- Computer Science
- Master's degree

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Forward Deployed Engineer (FDE)

Prodapt -
Guindy, Chennai, Tamil Nadu

Apply Now

Job details

3 hours ago

Qualifications

CI/CD
Azure
Cloud architecture
Law
Software deployment
Enterprise Software
English
Japanese
AWS
JavaScript
Continuous integration
APIs
Scalability
AI
Communication skills
Python

Full job description

Overview:

The Forward Deployed Engineer (FDE) is responsible for designing, building, and deploying AI-powered applications in close collaboration with customers, bridging the gap between business problems and production-ready technical solutions. This role combines hands-on software engineering, applied AI implementation, and direct customer engagement, ensuring that solutions are technically robust, operationally scalable, and aligned with business outcomes.

The FDE works at the intersection of application engineering, AI systems, data workflows, and customer delivery, partnering directly with client stakeholders, product teams, and internal engineering teams to rapidly translate requirements into working solutions. The role requires strong technical depth in modern application development, cloud-native systems, and Generative AI implementation, along with the ability to operate effectively in ambiguous and fast-moving delivery environments.

Responsibilities:

Engage directly with customers to understand business challenges, technical requirements, and operational constraints
Translate customer requirements into solution designs, technical workflows, and implementation plans
Design, develop, and deploy production-grade applications using Python, JavaScript, or related technologies
Build and integrate LLM-powered applications, including conversational systems, automation workflows, and knowledge-based systems
Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, embedding strategies, retrieval optimization, and response orchestration
Build and manage agent-based architectures, including task orchestration, tool integration, and execution flows
Design and maintain evaluation frameworks to measure model quality, retrieval effectiveness, and output reliability
Implement and manage MLOps/LLMOps pipelines covering deployment, monitoring, versioning, rollback, and lifecycle management
Develop and deploy applications in cloud environments such as AWS, Azure, or GCP
Collaborate with data engineers, architects, and technical leads to integrate AI workflows into enterprise systems
Identify technical risks and implementation bottlenecks, proposing mitigation strategies proactively
Balance rapid prototyping with production-readiness, ensuring quality, scalability, and maintainability
Support optimization of delivery workflows by leveraging AI tools to improve engineering productivity and operational efficiency

Requirements:

Experience

Minimum 8 years of experience in software engineering, technical implementation, or related technical delivery roles
Proven experience driving projects with direct client engagement and stakeholder management
Experience working in fast-paced, ambiguous delivery environments with strong ownership and execution capability

Application Engineering

Strong hands-on development experience using Python and/or JavaScript
Experience building production-grade backend services, APIs, and application workflows
Strong understanding of software engineering fundamentals including modular design, testing, and maintainability
Experience integrating frontend and backend components for end-to-end solution delivery

Applied AI Engineering

Demonstrated experience building or implementing applications leveraging Large Language Models (LLMs) and Generative AI technologies
Practical experience designing and implementing Retrieval-Augmented Generation (RAG) workflows
Experience in agent design, orchestration logic, and tool-based execution patterns
Experience building evaluation frameworks for model validation, retrieval quality, and output consistency
Understanding of prompt engineering, model behavior optimization, and AI system reliability

Cloud & Platform Engineering

Experience building and deploying systems in cloud environments (AWS, GCP, Azure)
Experience with containerized deployment and cloud-native architecture patterns
Understanding of deployment automation, CI/CD pipelines, and infrastructure provisioning
Familiarity with application scalability, resilience, and cloud cost optimization

MLOps / LLMOps

Experience designing and operating MLOps and/or LLMOps pipelines
Understanding of model lifecycle management including deployment, versioning, monitoring, and rollback
Experience implementing observability for AI systems, including performance and quality monitoring

Customer Delivery & Stakeholder Engagement

Strong ability to engage with customers to clarify requirements, align expectations, and drive delivery decisions
Ability to explain complex technical concepts to business and non-technical stakeholders
Experience balancing customer priorities with technical feasibility and delivery constraints

Soft Skills

Strong problem-solving orientation with a customer-first mindset
Ability to balance hands-on coding with customer-facing engagement
Strong decision-making capability under ambiguity
Ability to maintain delivery speed without compromising quality
Strong ownership and accountability for delivery outcomes
Ability to remain composed and effective in high-pressure delivery environments

Nice to Have

Business-level or higher Japanese language proficiency
Experience implementing large-scale enterprise systems
Experience in data security, governance, and access control design
Experience working in startup or new business environments
Experience collaborating with global or distributed teams
Strong English communication skills
Experience with observability tools and operational monitoring for AI systems

Language Requirements

English: Business proficiency required
Japanese: Business-level proficiency preferred

Apply Now

Refine Your Search

machine learning engineer jobs in siruseri chennai tamil nadu

Forward Deployed Engineer (FDE)

On the Job Training

Hardware Engineer

SLP Cluster Manager, South Region, India SLP

Software Engineer - Testing

Software Trainer

Senior Software Engineer - Backend

Bank Application Testing (AI Developer)

Data Engineer

Cloud Engineer II- (CE II)

Graphic Designer

DevOps Engineer

Python Developer

Cloud Computing- AWS + DevOps / Azure Part Time Trainer

Java Core

Digital Marketing & Creative Specialist

Python Developer

Graphic Designer

Embedded BIOS

AI/ML Compiler Engineer