Artificial Intelligence Engineer

ThoughtSol Infotech Ltd.; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

ThoughtSol Infotech Ltd. is seeking an Azure AI Engineer to design, develop, and deploy AI-driven applications on the Microsoft Azure platform.

The role involves collaborating with cross-functional teams to identify business use cases, building ML models, and deploying scalable pipelines. The ideal candidate has 2+ years of AI/ML experience, strong Python/Java/C#, and hands-on work with Azure AI services such as Azure ML and Databricks.

Qualifications

• 2+ years of AI/ML engineering experience, Azure-focused.
• Proficient in Python, Java, or C# and ML fundamentals.
• Hands-on with Azure AI services (Azure ML, Cognitive Services, Databricks).

Responsibilities

• Design, develop, and deploy AI solutions on Azure.
• Collaborate with teams to define AI use cases.
• Build and optimize scalable ML pipelines.
• Mentor junior team members and stay updated on Azure AI.

Skills

Python

Java

C#

Azure AI services

Machine learning

Education

Bachelor’s or Master’s degree in CS/Engineering/Math

Tools

Azure Databricks

Azure Data Lake

Microsoft Copilot Studio

Job description

Our story started in January 2014 with the simple thought of bringing meaningful change- through advanced technology, services, and commitment. We bring strong domain expertise across Digital Solutions, Data Centre Solutions, Cloud Services, and NextGen Services, aiming to deliver innovation and excellence.

Job Description:

We are seeking a talented and experienced Azure AI Engineer to join our innovative team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and cloud computing, with expertise in implementing AI solutions on the Azure platform. You will play a key role in designing, developing, and deploying AI-driven applications to drive business growth and innovation.

Responsibilities:

• Design, develop, and deploy AI solutions on the Azure platform using Azure Machine Learning, Azure Cognitive Services, and Azure Databricks
• Collaborate with cross-functional teams to understand business requirements and define AI use cases
• Develop and implement machine learning models using frameworks like TensorFlow, PyTorch, and scikit-learn
• Clean, preprocess, and analyze large datasets using Azure Data Lake, Azure SQL Database, etc.
• Build and optimize scalable ML pipelines for data ingestion, processing, and deployment
• Evaluate and improve model performance using appropriate metrics
• Stay updated with the latest Azure AI tools and best practices
• Provide technical guidance and mentorship to junior team members
• Work on Agentic AI frameworks to design autonomous and decision-making AI systems
• Develop and deploy AI solutions using Microsoft Copilot Studio for conversational and enterprise automation use cases

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field
• Minimum 2+ years of experience in AI/ML engineering (Azure-focused preferred)
• Proficiency in Python, Java, or C#
• Strong understanding of machine learning algorithms, data structures, and statistics
• Hands-on experience with Azure AI services (Azure ML, Cognitive Services, Databricks)
• Experience with Agentic AI concepts and architectures
• Working knowledge of Microsoft Copilot Studio / AI copilots development
• Knowledge of Azure cloud services (Data Lake, SQL Database, Storage)
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills

Preferred Skills:

• Experience with MLOps and deployment pipelines
• Knowledge of NLP, Generative AI, or LLMs
• Exposure to data governance and security practices