JD

Experience : 4 to 15 years

Location : Chennai

Notice Period : Immediate to 3 Months

Role & responsibilities

- Degree in computer science, artificial intelligence, or IT.
- Strong knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP).
- Design, implement, and optimize generative AI architectures and models.
- Build Agentic AI solutions using LLMs, including tool/function calling, Model Context Protocol (MCP), memory, workflows, and orchestration.
- Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets, ensuring data quality and integrity for model training.
- Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operational efficiency.
- Fine-tune and optimize AI models for specific applications, focusing on improving accuracy, efficiency, and scalability.
- Experience of cloud-based platforms (e.g., AWS, Azure, GCP)



to develop and deploy scalable AI solutions, ensuring high availability and performance.
- Robust hands-on experience in end-to-end AI/ML engineering, including data preprocessing, feature engineering, model training, evaluation, and optimization for production use cases.
- Implement MLOps best practices for continuous integration and deployment (CI/CD) of AI models, including monitoring, logging, and version control.
- Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
- Experience in developing and deploying AI/Gen AI based systems in production.
- Provide technical guidance and mentorship to junior engineers and team members, fostering a culture of knowledge sharing and continuous learning.

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