Optisol Business Solutions - Machine Learning Engineer - Generative AI

Machine Learning Engineer

Experience : 2-4 Years Employment Type: Full-time Location: Chennai/Coimbatore/Madurai

Job Summary :

We are looking for a Machine Learning Engineer with 2-4 years of experience in building and deploying ML-driven solutions, including ML and GenAI-based systems.

The role involves working across the full ML lifecycle, from data preparation and model development to deployment, monitoring, and continuous improvement in production environments.

Key Responsibilities :

- Build, train, and optimize machine learning and GenAI models for production use cases

- Work with large-scale structured and unstructured datasets (text, images, embeddings, tabular data)

- Implement feature engineering, data preprocessing, and model evaluation pipelines

- Develop and deploy ML/GenAI models.

- Integrate ML solutions with backend systems and applications

- Work with embedding models, vector databases, or retrieval-based ML systems where applicable

- Monitor model performance, latency, and quality in production

- Collaborate closely with data engineers, backend engineers, and product teams

- Document model behavior, assumptions, and deployment workflows

Required Skills & Qualifications :

- 2+ years of hands-on experience as a Machine Learning Engineer

- Solid understanding of machine learning concepts and algorithms

- Experience with frameworks such as PyTorch,TensorFlow, scikit-learn, Langchain, LangGraph etc.

- Familiarity with NLP, embeddings, or deep learning-based models

- Hands-on experience with GenAI systems (LLMs, prompt engineering, RAG pipelines, fine-tuning)

- Experience with data processing using Pandas, NumPy, and SQL

- Understanding of model deployment, inference, and performance optimization

- Experience using Git and working in Linux-based environments

- Experience with cloud platforms such as AWS / GCP / Azure

- Experience with Docker and containerized deployments

- Strong communication skills with the ability to explain ML/GenAI concepts clearly to both technical and non-technical stakeholder