Expert Artificial Intelligence Developer

2 weeks ago

Thiruvananthapuram, Kerala, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Key Performance Indicators:

  • We are seeking a highly skilled Senior Machine Learning Engineer with expertise in AI to drive innovation and growth.

About the Role:

The ideal candidate will have a strong background in designing, building, and deploying production-grade AI systems using cutting-edge technologies. They will be responsible for building and deploying end-to-end ML & Generative AI pipelines on Google Vertex AI (Pipelines, Model Registry, Endpoints).

The selected individual will work closely with Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)-based systems to power applications such as summarization, intelligent agents, and content generation. Additionally, they will implement MLOps pipelines to automate model deployment, monitoring, and retraining in production.

This role requires leveraging GCP services such as BigQuery, Cloud Storage, and Cloud Functions to manage large-scale data and deployments. The successful candidate will optimize models for scalability, cost, and performance in real-world use cases.

Responsibilities:

  • Ai System Development: Design, build, and deploy production-grade AI systems using cutting-edge technologies.
  • Pipeline Deployment: Build and deploy end-to-end ML & Generative Ai pipelines on Google Vertex Ai.
  • Llm Integration: Work with LLMs and RAG-based systems to power applications like summarization, intelligent agents, and content generation.
  • Mlops Implementation: Implement MLOps pipelines to automate model deployment, monitoring, and retraining in production.
  • Data Management: Leverage GCP services to manage large-scale data and deployments.
  • Model Optimization: Optimize models for scalability, cost, and performance in real-world use cases.

Requirements:

  • Google Vertex Experience: Strong hands-on experience with Google Vertex AI.
  • Generative Ai Expertise: Proven work in Generative AI / LLMs.
  • Mlops Background: Solid background in MLOps.
  • Programming Skills: Expertise in Python plus at least one other language.
  • Deployment Experience: Practical experience deploying tested ML modules with measurable performance outcomes.
  • Technical Skills: Proficiency with TensorFlow, PyTorch, Scikit-learn, Keras.

What We Offer:

A dynamic work environment with opportunities for growth and professional development.

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