Generative AI Engineer

Overview

Job Title: Senior Specialist – Data Sciences

Location: PAN India

Experience: 8–15 years

Role Overview

We are seeking a highly skilled Senior Specialist – Data Sciences to join our team. The ideal candidate will have deep expertise in advanced data science techniques, machine learning, and AI-driven solutions, with strong proficiency in MLOps, GenAI (LLMOps), and Python-based Data Science. This role involves designing, deploying, and optimizing AI/ML models for enterprise-scale applications, ensuring robust operationalization and governance.

Key Responsibilities

• Design and implement scalable Machine Learning and Deep Learning models for AIOps and predictive analytics.
• Develop and maintain MLOps pipelines for continuous integration and deployment of ML models.
• Work on Generative AI solutions, including LLMOps, for enterprise use cases.
• Collaborate with cross-functional teams to integrate AI/ML solutions into business processes.
• Optimize model performance and ensure compliance with data governance and security standards.
• Drive innovation through research and application of emerging AI technologies.

Required Skills

• MLOps: End-to-end ML lifecycle management, CI/CD for ML models.
• GenAI – LLMOps: Large Language Model operationalization and fine-tuning.
• Python – Data Science: Advanced programming and data manipulation.
• Machine Learning – AIOps: Predictive analytics, anomaly detection, automation.
• Deep Learning – AIOps: Neural networks, computer vision, NLP.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 7–11 years of experience in Data Science and AI/ML roles.
• Proven track record of deploying ML models in production environments.
• Strong understanding of cloud platforms and containerization (Docker, Kubernetes).

Preferred

• Experience with Azure ML, AWS SageMaker, or similar platforms.
• Familiarity with transformer-based architectures and generative AI frameworks.
• Knowledge of data engineering and feature store management.