Machine Learning Consultant

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.