UST
Website:
ust.com
Job details:
AIML Lead
Job Location: Trivandrum and Kochi
Experience Range: 8 - 15 Years
- 8+ years of experience in Artificial Intelligence, with strong exposure to Machine Learning, Deep Learning, NLP, and Generative AI.
- Demonstrated experience in leading AI teams and delivering enterprise-scale AI solutions, preferably in AIOps or IT Operations automation.
Role Overview
We are seeking a visionary AI professional to lead the AIOps team within our Intelligent Automation division. The ideal candidate will bring strong technical expertise in AI/ML, Deep Learning, NLP, and Generative AI, along with proven leadership capabilities.
This role requires hands-on technical depth, research orientation, and strategic thinking to drive innovation in AI-powered IT Operations (AIOps). The candidate will mentor a team of AI researchers, data scientists, and ML engineers while building next-generation intelligent automation solutions.
Key Responsibilities
AIOps Research & Innovation
- Lead research and development of AI-driven AIOps solutions including predictive maintenance, anomaly detection, incident correlation, and root cause analysis.
- Explore and implement Generative AI, Large Language Models (LLMs), and agentic AI frameworks for IT operations automation.
Must-Have Skills
- 6+ years of relevant experience in Artificial Intelligence / Machine Learning.
- Strong expertise in:
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Generative AI
- Experience in AIOps use cases, such as:
- Predictive maintenance
- Anomaly detection
- Incident correlation
- Root cause analysis
- Hands-on experience with ML frameworks:
- TensorFlow
- PyTorch
- Scikit-learn
- Experience with Large Language Models (LLMs) such as:
- GPT
- BERT
- Transformer-based models
- Proven technical leadership and team management experience.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management skills.
Good-to-Have Skills
- Experience with MLOps platforms and workflows.
- Hands-on exposure to Databricks.
- Experience working with cloud AI services:
- Azure AI / Azure ML
- AWS AI / SageMaker
- Google Cloud AI
- Knowledge of agentic AI frameworks and autonomous AI systems.
- Experience delivering enterprise IT operations automation solutions.
- Exposure to AI research, innovation labs, or advanced R&D environments.
Project Leadership
- Manage end-to-end delivery of AIOps AI projects, ensuring alignment with business goals and client needs.
- Define solution architecture and ensure scalability, reliability, and performance.
Technical Leadership
- Provide expert guidance on ML, DL, NLP, and Generative AI models.
- Ensure adoption of best practices in AI development, model deployment, and lifecycle management.
Team Leadership
- Lead, mentor, and develop a high-performing AI team including data scientists, ML engineers, and researchers.
- Foster a collaborative and innovative culture.
Cross-functional Collaboration
- Work closely with product teams, engineering teams, and business stakeholders to deliver impactful solutions.
Click on Apply to know more.