Singanallur Tamil Nadu Python Jobs – 332 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
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11d
AI & ML Intern
LYFnGO Technologies —Coimbatore, Tamil Nadu
- ₹1 - ₹10,000 a month
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
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Freshers Phython developers
Veradis Technologies —Coimbatore, Tamil Nadu
- From ₹1,00,000 a year
- Full-time
- Computer Science
- Databases
- SQL
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Associate PDE - Robotics
Roots Group of Companies —Coimbatore, Tamil Nadu
- C++
- Linux
- Python
Trainee Software Engineer
CAP Digisoft Solutions —Coimbatore, Tamil Nadu
- Full-time
- Computer Science
- Bachelor's degree
- JavaScript
Full Stack Developer
Connected Ventures Technology Pvt Ltd —Coimbatore, Tamil Nadu
- From ₹4,00,000 a month
- Full-time
- Bachelor's degree
- In-person
- Python
- Flexible schedule
- Paid sick time
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13d
IT Support Engineer
Helixbeat India Private Limited —Coimbatore, Tamil Nadu
- ₹3,00,000 - ₹8,00,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Windows
- Health insurance
- Work from home
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Student Intern
Schlumberger —Coimbatore, Tamil Nadu
- Full-time
- Azure
- Presentation skills
- Machine learning
2d
Senior Python Developer
Katomaran Technologies Private Limited —Coimbatore, Tamil Nadu
- Up to ₹8,00,000 a year
- Email
- Databases
- SQL
- APIs
- Health insurance
- Paid time off
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Python Full Stack Developer
HELLO PROJECTS —Coimbatore, Tamil Nadu
- ₹10,000 - ₹12,000 a month
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
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Generative AI Engineer
Cloudseed Technologies —Coimbatore, Tamil Nadu
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- AI
Web Developer
Accenture —Coimbatore, Tamil Nadu
- Full-time
- JavaScript
- Scripting
- Python
Fresher / Junior Web Developer (AI Product)
JUBILANT CAPITAL —Coimbatore, Tamil Nadu
- ₹16,000 - ₹20,000 a month
- Full-time
- JavaScript
- APIs
- In-person
- Health insurance
- Paid time off
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8d
Python Developer
Kanmalai Technologies —Coimbatore, Tamil Nadu
- Databases
- Analysis skills
- APIs
Cloud engineering track
Cloudseed Technologies —Coimbatore, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Java
AI / ML Engineer
Accenture —Coimbatore, Tamil Nadu
- Full-time
- Machine learning
- AI
- Python
Python and Data analytics Trainer
Xplore Intellects Pvt Ltd —Coimbatore, Tamil Nadu
- ₹15,000 - ₹25,000 a month
- Email
- Computer Science
- In-person
- Training & development
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1d
Python AI/ML Engineer – Computer Vision & NLP
SolutionChamps Technologies —Coimbatore, Tamil Nadu
- Email
- Azure
- Computer Science
- Master's degree
AI Developer
Nelgates Technologies Private Ltd —Coimbatore, Tamil Nadu
- ₹20,000 - ₹50,000 a month
- Full-time
- Azure
- ERP systems
- AWS
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Python Full-Stack Developer
MAYLASOFT LLP —Saibaba Colony, Coimbatore, Tamil Nadu
- Full-time
- Azure
- AWS
- JavaScript
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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
11 days 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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