AiMl Engineer
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Job Location:
Coimbatore - India
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description AI/ML Engineer
Role: AI/ML Engineer
Location: Coimbatore (Work From Office)
Experience: 23 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
Bachelors degree in Computer Science Data Science AI/ML or related field.
23 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.
Required Skills:
Bachelors degree in Computer Science Data Science AI/ML or related field. 23 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.
Key Skills
- 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.
About Company
Sense7ai is not just redefining talent acquisition and software innovation; we are also committed to leveraging our expertise to support urban and rural skill development, offering opportunities for underserved communities. By offering a synergy of AI-powered recruitment with custom ... View more
