AI/ML Engineer

Job Description – AI/ML Engineer

Role: AI/ML Engineer

Location: Coimbatore (Work From Office)

Experience: 2–3 Years

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 own end-to-end AI execution while staying current with evolving AI/LLM advancements.

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

Design clean, modular, and scalable AI pipelines (data → training → evaluation → inference).

Implement production-ready inference services and APIs.

Ensure system design supports high-quality, maintainable, and extensible AI workflows.

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.

Improve autonomy, adaptability, and decision-making accuracy within agentic systems.

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.

Implement versioning, monitoring, and logging for model lifecycle maintenance.

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, ChromaDB).

Experience with agentic frameworks and orchestration tools (LangChain, LlamaIndex, Semantic Kernel, etc.).

Understanding of MLOps and CI/CD for ML systems.

Exposure to healthcare or AI-driven SaaS products.

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Job Types: Full-time, Permanent

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

Benefits:

• Health insurance
• Provident Fund

Work Location: In person