Tech Lead (ML Ops) (MT69ST RM 4130)
Source-Right
- Location
- Chennai, Tamil Nadu, India
- Job type
- Full-time
Required skills
- Python
- AWS
- Artificial Intelligence
- Atlassian
- automation solutions
- Azure
- Confluence
- containerization
- CRM
- Docker
- GCP
- Java
- Jira
- Keras
- Kubernetes
- machine learning
- NLP
- TensorFlow
- Pytorch
About the role
Source-Right
Website:
source-right.com
Job details:
Position: Tech Lead (ML Ops) (MT69ST RM 4130)
Skill: AI/ML Engineering
Job Description
Key responsibilities for ML Ops
- Designing, developing, testing, and deploying robust and scalable AI agents and solutions within Xvantage platform ‿ preferable with Google tech stack, but open to other hyperscaler experience.
- Collaborating with product managers, data scientists, and other engineers to translate business requirements into technical specifications for AI agent functionality.
- Implementing natural language processing (NLP), machine learning (ML) models, and other AI techniques to enhance agent intelligence and performance.
- Monitoring, debugging, and optimizing AI agent performance to ensure high availability and accuracy.
- Integrating AI agents with existing enterprise systems like CRM, ERP, and databases.
Skills
- Bachelor’s or master‿s degree in computer science, Artificial Intelligence, Software Engineering, or a related technical field, or equivalent practical experience.
- 3+ years of experience in developing, deploying, and maintaining AI agents, chatbots, or intelligent automation solutions.
- Strong proficiency in programming languages such as Python or Java.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
- Knowledge of natural language processing (NLP) techniques and tools.
- Knowledge of Atlassian products (e.g., Jira, Confluence).
- Experience with cloud platforms (GCP, Azure, AWS) and MLOps practices.
- Familiarity with containerization technologies (Docker, Kubernetes).
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