Generative AI Engineer

Location:

Eligibility:

About the Role

Generative AI Engineer

Core Expertise

• MLOps: End-to-end ML lifecycle management, CI/CD pipelines, model monitoring & automation.
• Generative AI / LLMOps: Fine-tuning, prompt engineering, RAG, LLM deployment & scaling.
• Python (Data Science): Advanced programming, data manipulation, scientific computing.
• Machine Learning for AIOps: Predictive analytics, anomaly detection, forecasting, automation.
• Deep Learning for AIOps: Neural networks, NLP, computer vision, transformer-based models.

Key Responsibilities

• Design and implement scalable 

  Machine Learning and Deep Learning models

   for AIOps, anomaly detection, and predictive analytics.
• Build and maintain 

  MLOps pipelines

   for continuous integration, deployment, monitoring, and automated retraining of ML models.
• Develop 

  Generative AI solutions

  , including 

  LLMOps

   workflows, model fine-tuning, and optimization for enterprise use cases.
• Collaborate with cross-functional engineering, product, and business teams to embed AI/ML capabilities into core business processes.
• Optimize model performance, scalability, and latency while ensuring compliance with 

  data governance, security, and privacy standards

  .
• Explore and evaluate emerging AI technologies to drive continuous innovation in the organization.

Preferred Skills

• Hands-on familiarity with 

  Azure ML, AWS SageMaker, GCP Vertex AI

  , or equivalent ML platforms.
• Understanding of 

  transformer architectures

  , diffusion models, and generative AI frameworks.
• Knowledge of 

  data engineering

  , pipeline design, and feature store management.

Education

• Bachelor’s or Master’s degree in 

  Computer Science, Data Science, Artificial Intelligence

  , or related fields.

• 2025 Passouts are welcome to apply.

Location Requirement

• This role is open only for candidates based in or willing to relocate to Kolkata.