About the role
structured by ORIRole/Skill- AI ML Developer Experience - 4 to 15 Years Location- Chennai JD: Required Skills: 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…
What you will do
- 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.
What they are looking for
- 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.
- Experience of cloud-based platforms (e.g., AWS, Azure, GCP) to develop and deploy scalable AI solutions, ensuring high availability and performance.
- Strong hands-on experience in end-to-end AI/ML engineering, including data preprocessing, feature engineering, model training, evaluation, and optimization for production use cases.
Full posting text
Role/Skill- AI ML Developer
Experience - 4 to 15 Years
Location- Chennai
JD:
Required Skills:
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.
· Experience of cloud-based platforms (e.g., AWS, Azure, GCP) to develop and deploy scalable AI solutions, ensuring high availability and performance.
Strong hands-on experience in end-to-end AI/ML engineering, including data preprocessing, feature engineering, model training, evaluation, and optimization for production use cases.