Role Description

We are looking for a highly skilled AI/ML Engineer with 4-6 years of experience in designing, developing, and deploying machine learning and AI solutions. The ideal candidate should have strong hands-on experience in Python, Machine Learning, Deep Learning, Generative AI/LLMs, and building production-ready AI/ML applications.

The candidate will collaborate with data scientists, software engineers, product teams, and business stakeholders to develop scalable AI solutions and integrate machine learning models into enterprise applications.

Role & responsibilities

- Design, develop, train, and deploy Machine Learning and AI models for real-world business problems.
- Develop solutions using Generative AI and Large Language Models (LLMs).
- Build LLM-based applications using techniques such as Prompt Engineering and RAG (Retrieval-Augmented Generation).
- Develop and optimize Machine Learning and Deep Learning models.
- Perform data preprocessing, feature engineering, model training, validation, and performance evaluation.
- Build scalable Python-based AI/ML applications and APIs.
- Integrate ML/AI models with existing applications and enterprise systems.
- Work with vector databases, embeddings, and semantic search for GenAI applications.
- Deploy and monitor ML models in production environments.




- Collaborate with engineering, product, and business teams to translate requirements into AI/ML solutions.
- Follow best practices related to model performance, scalability, security, and maintainability.
- Stay updated with developments in Generative AI, LLMs, Machine Learning, and Deep Learning.

Preferred candidate profile

- 4-6 years of relevant software engineering / AI / ML experience.
- Strong programming experience in Python.
- Strong knowledge of Machine Learning concepts and algorithms.
- Hands-on experience with Deep Learning.
- Experience with ML/DL frameworks such as PyTorch or TensorFlow.
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Experience developing RAG-based applications.
- Good understanding of Prompt Engineering, Embeddings and Vector Search/Vector Databases.
- Experience working with LLM frameworks such as LangChain, LlamaIndex, or equivalent.
- Strong understanding of the end-to-end ML lifecycle, including data preparation, model development, evaluation, deployment, and monitoring.
- Experience developing/integrating REST APIs for AI/ML solutions.
- Good knowledge of Git and software development practices.
- Robust problem-solving and communication skills.

📌 Ai Ml Engineer (Chennai)
🏢 Incedo
📍 Chennai