Machine Learning Engineer - Generative AI

Description: AIML LeadJob Location: Trivandrum/KochiExperience Range: 8 - 16 Years8+ 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 OverviewWe 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 ResponsibilitiesAIOps 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 Skills10+ years of experience in Artificial Intelligence / Machine Learning.Strong expertise in: - Machine Learning- Deep Learning- Natural Language Processing (NLP)- Generative AIExperience in AIOps use cases, such as: - Predictive maintenance- Anomaly detection- Incident correlation- Root cause analysisHands-on experience with ML frameworks: - TensorFlow- PyTorch- Scikit-learnExperience 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.Strategic Contribution : - Define AIOps roadmap and innovation strategy.- Identify opportunities where AI can create business value and operational efficiency.Skills : Aiml,Machine Learning,Cloud Services (ref: hirist.tech)