ThoughtSol Infotech Ltd.
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Noida · On-site · 2-5 Yrs · Aug 17
Information Technology Support Services · 201 to 500 Employees · New Delhi, India
Welcome to ThoughtSol. Our story started in January 2014 with the simple thought of bringing a meaningful change. The journey began with a vision to revolutionize how businesses engage with technology, igniting innovation and driving progress in every sector. Since then, we've been at the forefront of the digital revolution, pioneering solutions that redefine industries and empower organizations to thrive in an ever-evolving landscape. Our commitment to excellence is woven into every aspect of our operations, as evidenced by our certifications in Quality Management, Service Management, Information Service Management, Environmental Management, and Business Continuity Management. We strongly believe in "Happy Employees = Happy Customers". Backed by proficient skills and deep domain expertise spanning diverse sectors, we continually push the boundaries to bring the latest advancements and elevate our delivery to even greater heights.
Hiring: Engineering
What employees say
+ Great place to start and grow your career. I recently joined as a DevOps Engineer, and the team has been supportive and welcoming. The work environment is positive, with good learn
− Honestly, the only thing I'd change is the office location-it deserves a more premium spot to match the great work culture and team!
More reviews on the company profile.
Interview experience · Help Desk Executive
Good, Based on networking , hardware peripherals like printer, Laptop, desktop, remote troubleshooting, Wi-fi , Lan setup , situational questions, brief introduction, some of the directory commands , microsoft 365
Average difficulty · India · 3 reports
More interview insightsJob description
Overview
Job Title: Azure AI Engineer
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
Qualifications
- 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.
- 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)
- 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
- Knowledge of NLP, Generative AI, or LLMs
- Azure certifications (AI Engineer Associate, etc.)
- Exposure to data governance and security practices
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