Coimbatore Tamil Nadu Pipeline engineer Jobs – 191 Open Jobs Today

Applied AI Engineer (Execution-Focused)
Sense7ai —Coimbatore, Tamil Nadu
- ₹6,00,000 - ₹7,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
1d
AI Integration Engineer
Aaludra Technology Solutions Pvt Ltd —Coimbatore, Tamil Nadu
- ₹3,75,741.73 - ₹15,53,700.40 a year
- Full-time
- Azure
- English
- Databases
Quick apply
Data Engineer
Accenture —Coimbatore, Tamil Nadu
- Full-time
- Azure
AI / ML Engineer
Accenture —Coimbatore, Tamil Nadu
- Full-time
- Machine learning
- AI
Associate Engineer - Robotics
Roots Group of Companies —Coimbatore, Tamil Nadu
- C++
- Linux
- Python
Data Associate
Arcana Analytics —Coimbatore, Tamil Nadu
- Morning shift
- Microsoft Excel
- Analysis skills
- Bachelor's degree
- Flexible schedule
AI-Machine Learning Engineer
V support Solutions —Coimbatore, Tamil Nadu
- ₹40,000 - ₹60,000 a month
- Email
- Azure
- Computer Science
- Data analysis skills
Custom Software Engineer
Accenture —Coimbatore, Tamil Nadu
- Full-time
AI Engineer
CodvikScribe —Coimbatore, Tamil Nadu
- ₹30,000 - ₹40,000 a month
- Full-time
- Azure
- Computer Science
- System design
- Health insurance
- Flexible schedule
Quick apply
11h
Cloud Support Engineer
Presidio Networked Solutions, LLC —Coimbatore, Tamil Nadu
- Hybrid work
- DevOps
- English
- Databases
Full Stack Engineer
Accenture —Coimbatore, Tamil Nadu
- Full-time
- Agile
PTS PIPE STRESS ENGINEER
Schlumberger —Coimbatore, Tamil Nadu
- Bachelor's degree
- Travel
- Construction
Advanced Analytics Engineer
Augusta Hitech Soft Solutions —Coimbatore, Tamil Nadu
- SQL
- Machine learning
- AI
Associate Engineer - Robotics
Roots Multiclean —Coimbatore, Tamil Nadu
- C++
- Linux
- Python
Application Support Engineer
Accenture —Coimbatore, Tamil Nadu
- Full-time
- Software troubleshooting
AI Engineer
RSN GINFO Solutions —Coimbatore, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Research
Java Developer
Mitrahsoft Solutions Private Ltd —Coimbatore, Tamil Nadu
- ₹3,00,000.07 - ₹6,00,000.24 a year
- Full-time
- Azure
- Software troubleshooting
- Java
Quick apply
Senior Software Engineer
Pathfinder Business Analysis —Coimbatore, Tamil Nadu
- ₹12,00,000 - ₹16,00,000 a year
- Full-time
- Azure
- Computer Science
- Databases
- Health insurance
Quick apply
1d
Lead AI Engineer
Daivtech Solutions Pvt Ltd —Coimbatore, Tamil Nadu
- ₹5,18,039.82 - ₹20,91,993.32 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
4d
AI/ML Engineer (Associate)
Bosch Group —Coimbatore, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Java
Quick apply

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Applied AI Engineer (Execution-Focused)

Sense7ai
Coimbatore, Tamil Nadu

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Job details

Permanent | Full-time
₹6,00,000 - ₹7,00,000 a year
1 day ago

Qualifications

BCS
TensorFlow
CI/CD
Azure
Law
Computer Science
PyTorch
Software deployment
NumPy
Master's degree
Databases
Pandas
OS Kernels
AWS
Analysis skills
Bachelor's degree
Machine learning
Continuous integration
REST
Natural language processing
APIs
Data science
AI
Communication skills
Python
Data Science

Full job description

Job Description – Applied AI Engineer (Execution-Focused)

Role: Applied AI Engineer (Execution-Focused)

Location: Coimbatore (Work from Office)

Experience: 2–3 years of hands-on experience in ML/AI development, with exposure to production systems and a strong execution mindset.

Overview

We are seeking an AI/ML Engineer with strong hands-on experience in machine learning, LLMs, NLP, data processing, and model deployment. The ideal candidate should be capable of building clean, scalable AI architectures, designing agentic workflows, fine-tuning models, preparing datasets, and integrating LLMs into production applications.

You will contribute to and support end-to-end AI execution, including model development, integration, evaluation, and deployment, with opportunities to take increasing ownership over time.

This role focuses on hands-on execution and integration, not on defining AI strategy or owning system architecture independently on day one.

Key Responsibilities

1. Model Development & Fine-Tuning

Build, train, and fine-tune ML/NLP/LLM models for production use.

Evaluate performance using standard AI metrics and deliver measurable improvements.

Optimize models for accuracy, latency, and scalability.

2. AI Architecture & System Design

Contribute to clean, modular AI pipelines covering data processing, training, evaluation, and inference.
Support maintainable and extensible AI workflows by following established system patterns and guidance.

3. Prompt Engineering & LLM Integration

Create and optimize prompts, structured reasoning, and multi-step chains.

Integrate LLMs (OpenAI, Azure, Hugging Face, etc.) into applications.

Evaluate LLM outputs for quality, stability, and reduced hallucinations.

4. Agentic Workflow Development

Build and orchestrate agent-based AI workflows.

Connect LLM agents with tools, APIs, memory, and multi-step reasoning flows.

Support improvements in agentic workflows, including tool usage, reasoning steps, and output quality, with guidance and iteration.

5. Dataset Preparation & Validation

Prepare, clean, label, and validate datasets for ML/LLM training and evaluation.

Identify data bias, duplications, and quality issues.

Build evaluation datasets aligned with product and QA expectations.

6. Deployment & Integration

Develop inference pipelines and microservices for real-time and batch predictions.

Assist with model versioning, monitoring, and logging to support model lifecycle maintenance in production environments.
Collaborate with engineering teams for seamless integration.

7. Research & Innovation

Stay updated with advancements in LLMs, embeddings, vector search, and generative AI.

Evaluate and apply new architectures, frameworks, and techniques to enhance product capabilities.

8. Documentation & Collaboration

Document model architecture, datasets, experiments, workflows, and deployment processes.

Work with Product, QA, and Engineering to define AI evaluation criteria and expectations.

Participate in sprint ceremonies and cross-functional planning sessions.

Core Skills & Qualifications

Bachelor's degree in computer science, Data Science, AI/ML, or related field.

2–3 years of experience in ML/AI model development and deployment.

Strong Python skills (PyTorch/TensorFlow, Hugging Face, Scikit-learn, NumPy, Pandas).

Experience fine-tuning and integrating NLP/LLM models.

Strong understanding of embeddings, vector search, and evaluation metrics.

Experience building REST APIs and inference pipelines.

Knowledge of cloud platforms (Azure/AWS/GCP).

Ability to design clean, scalable ML/LLM system architectures.

Excellent analytical thinking and communication skills.

Nice to Have

Experience with vector databases (FAISS, Pinecone, Chroma DB).

Experience with agentic frameworks and orchestration tools (Lang Chain, Llama Index, Semantic Kernel, etc.).

Understanding of MLOps and CI/CD for ML systems.

Exposure to healthcare or AI-driven SaaS products.

Note: This role is not intended for Lead or Staff-level AI engineers. We value strong fundamentals, hands-on execution, and learning ability over deep specialization or architectural ownership at this stage.

Job Types: Full-time, Permanent

Pay: ₹600,000.00 - ₹700,000.00 per year

Work Location: In person

Quick apply

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pipeline engineer jobs in coimbatore tamil nadu

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AI Integration Engineer

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