Job Title: Azure AI Engineer

Location: Noida (Sector-132)

Experience: 3 Years (Preferred immediate joiners)

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 3 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
Azure certifications (AI Engineer Associate, etc.)
Exposure to data governance and security practices