AI Engineer

Zohorecruit; Dadri; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Zohorecruit is seeking a skilled AI/ML engineer in Uttar Pradesh to develop, train, and optimize ML/DL models, and to design AI solutions using NLP, CV, and Generative AI. You will build data pipelines for training and inference, deploy LLMs for business use, and integrate AI APIs within applications.

Collaboration with software engineers, data scientists, and product teams is essential, along with staying current on AI trends and documenting workflows and deployments.

Qualifications

• Proficient in Python and ML/DL frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of NLP, LLMs, Prompt Engineering, and Generative AI.
• Experience with REST APIs and model deployment.
• Familiarity with SQL and database management.
• Understanding of MLOps concepts and CI/CD practices.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop, train, and optimize Machine Learning and Deep Learning models.
• Design and implement AI solutions using NLP, Computer Vision, and Generative AI.
• Build and maintain data pipelines for model training and inference.
• Fine-tune and deploy Large Language Models (LLMs) for business use cases.
• Develop and integrate AI APIs and microservices into applications.
• Create and manage Retrieval-Augmented Generation (RAG) systems.
• Monitor model performance, troubleshoot issues, and improve accuracy.
• Collaborate with software engineers, data scientists, and product teams.
• Stay updated with emerging AI technologies and industry trends.
• Document AI workflows, model architectures, and deployment processes.

Skills

Python

ML frameworks

NLP/LLMs

REST APIs

SQL

MLOps

Cloud platforms

Analytical thinking

Problem-solving

Tools

TensorFlow

PyTorch

Scikit-learn

CI/CD

MLflow

AWS

Azure

GCP

Job description

• Develop, train, and optimize Machine Learning and Deep Learning models.
  
• Design and implement AI solutions using NLP, Computer Vision, and Generative AI technologies.
  
• Build and maintain data pipelines for model training and inference.
  
• Fine-tune and deploy Large Language Models (LLMs) for business use cases.
  
• Develop and integrate AI APIs and microservices into applications.
  
• Create and manage Retrieval-Augmented Generation (RAG) systems.
  
• Monitor model performance, troubleshoot issues, and improve accuracy.
  
• Collaborate with software engineers, data scientists, and product teams.
  
• Stay updated with emerging AI technologies and industry trends.
  
• Document AI workflows, model architectures, and deployment processes.
  

Requirements

• Strong proficiency in Python.
  
• Experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  
• Knowledge of NLP, LLMs, Prompt Engineering, and Generative AI.
  
• Experience with REST APIs and model deployment.
  
• Familiarity with SQL and database management.
  
• Understanding of MLOps concepts and CI/CD practices.
  
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
  
• Strong analytical and problem-solving skills.