Thoughtsol Infotech Pvt Ltd is hiring for Artificial Intelligence Engineer – Azure Platform at Noida, India

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📌 Company Overview

Thoughtsol Infotech Pvt Ltd is a technology services and consulting firm specializing in cloud solutions, data engineering, and digital transformation services. With a focus on practical cloud and AI implementations, the company works across industries including enterprise tech, analytics, and automation. Thoughtsol’s teams deliver modern cloud solutions, infrastructure engineering, and intelligent workloads for enterprise clients and SMEs. According to employee review platforms, Thoughtsol has an overall positive rating with strong work culture and skill development opportunities. :contentReference[oaicite:0]{index=0}

💼 Job Description

Role: Artificial Intelligence Engineer – Azure Platform

Location: Noida (Sector-132), India

Experience: 3–5 Years

As an Artificial Intelligence Engineer focused on the Azure platform, you will design, develop, and deploy AI and machine learning solutions leveraging Microsoft Azure services. You will work closely with cross-functional teams to build scalable AI systems, optimize model performance, and integrate AI-powered applications across cloud environments. :contentReference[oaicite:1]{index=1}

Key Responsibilities

• Design, develop, and deploy AI solutions using Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. :contentReference[oaicite:2]{index=2}
• Collaborate with cross-functional teams to define AI use cases and architect end-to-end solutions. :contentReference[oaicite:3]{index=3}
• Preprocess and analyze large datasets for model training and validation. :contentReference[oaicite:4]{index=4}
• Build and optimize scalable data pipelines and machine learning workflows. :contentReference[oaicite:5]{index=5}
• Evaluate and iterate on AI models using performance metrics and validation techniques. :contentReference[oaicite:6]{index=6}
• Stay updated on Azure AI services and industry best practices to enhance solutions. :contentReference[oaicite:7]{index=7}
• Provide guidance and mentorship to junior team members. :contentReference[oaicite:8]{index=8}

Required Skills

• Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, or related field. :contentReference[oaicite:9]{index=9}
• 3–5 years of experience in AI/ML engineering with focus on cloud platforms, especially Azure. :contentReference[oaicite:10]{index=10}
• Hands-on experience with Azure AI services such as Azure Machine Learning, Azure Cognitive Services, and Databricks. :contentReference[oaicite:11]{index=11}
• Strong programming skills in languages like Python, Java, or C#. :contentReference[oaicite:12]{index=12}
• Good understanding of machine learning algorithms, data structures, and statistical techniques. :contentReference[oaicite:13]{index=13}
• Experience with data preprocessing, model training, and pipeline optimization. :contentReference[oaicite:14]{index=14}
• Problem-solving capabilities and ability to work collaboratively in a fast-paced environment. :contentReference[oaicite:15]{index=15}

💰 Salary & Compensation

While the specific salary is not listed in the job posting, AI engineer roles with Azure specialization in India typically range from around ₹10 LPA to ₹20 LPA, depending on experience, expertise with cloud AI services, and project impact. Compensation packages may also include performance bonuses, health coverage, and professional development support.

📈 Company Trends & Market Demand

The demand for AI engineers with cloud specialization — particularly on platforms like Azure — is growing rapidly as enterprises build and scale AI-powered applications. Organizations increasingly leverage Azure Machine Learning, Cognitive Services, and Databricks for scalable intelligent solutions, creating strong demand for professionals with these skills. :contentReference[oaicite:16]{index=16}

👨‍💻 How to Prepare for This Role

• Azure AI Services: Gain hands-on experience with Azure Machine Learning, Cognitive Services, Azure Databricks, and related data services.
• ML & AI Fundamentals: Strengthen knowledge of machine learning models, algorithms, evaluation metrics, and data preprocessing techniques.
• Cloud Architecture: Understand cloud-native design patterns and scalable deployment on Azure.
• Data Engineering: Practice building and optimizing data pipelines for AI workloads.
• Model Deployment: Learn how to operationalize and monitor AI models in production environments.
• Soft Skills: Develop clear communication and team collaboration skills to work effectively in cross-functional teams.

🏢 Company Culture & Reviews

Thoughtsol Infotech has a generally positive workplace reputation among employees on review platforms with a strong culture of collaboration, skill development, and job satisfaction. However, individual experiences may vary by role and team. :contentReference[oaicite:17]{index=17}

✔️ Pros & Cons

📍 Final Thoughts

This Artificial Intelligence Engineer role at Thoughtsol Infotech is ideal for professionals who enjoy working with cloud-based AI platforms and building scalable machine learning solutions on Azure. Focus your preparation on deepening your AI and Azure expertise to stand out in interviews and succeed in the role.