AI​/ML Engineer

Company: Cyann.ai

Industry: Data, AI & Analytics | Microsoft Partner

Employment Type:

Full-time

About Cyann.ai Cyann.ai is a Microsoft partner specializing in modern data, analytics, and AI solutions built on Azure and Microsoft Fabric. We help organizations design, build, and scale data-driven systems that support business decisions and measurable outcomes.

Our teams work closely with clients to deliver practical AI and machine learning solutions that integrate cleanly into enterprise data platforms.

Role Overview We are seeking an AI/ML Engineer to design, build, and deploy machine learning solutions on Microsoft Azure and Microsoft Fabric. This role focuses on developing production-ready models, integrating them into data platforms, and working closely with data engineers, analysts, and business stakeholders.

This position is ideal for someone who understands applied machine learning, cloud-based deployment, and enterprise data environments, and who is comfortable working in client-facing delivery teams.

Key Responsibilities Design, develop, and deploy machine learning models using Azure and Microsoft Fabric

Build end-to-end ML pipelines, including data preparation, training, validation, and inference

Collaborate with data engineers to integrate ML solutions with Fabric, Azure Data Factory, and Lakehouse architectures

Develop and deploy models using Azure Machine Learning, Python, and related frameworks

Implement model monitoring, performance tracking, and retraining strategies

Translate business problems into measurable ML use cases and technical solutions

Work closely with stakeholders to explain model behavior, limitations, and outcomes

Follow engineering best practices for versioning, testing, and documentation

Support production deployments using CI/CD and MLOps practices

Contribute to reusable accelerators, templates, and internal best practices

Required Skills & Experience Proven experience as an AI/ML Engineer or similar role in production environments

Strong proficiency in Python and common ML libraries (scikit-learn, Tensor Flow, PyTorch, etc.)

Hands-on experience with Azure Machine Learning and Azure-based deployments

Solid understanding of supervised and unsupervised learning techniques

Experience working with structured and semi-structured data at scale

Familiarity with Microsoft Fabric, Azure Data Lake, or Synapse

Understanding of MLOps concepts such as model versioning, monitoring, and automation

Strong problem-solving skills and attention to detail

Clear communication skills, especially in cross-functional teams

Nice to Have Experience delivering ML solutions in consulting or client-facing roles

Knowledge of Power BI integration with ML outputs

Experience with real-time or batch inference systems

Exposure to generative AI, Azure OpenAI, or NLP use cases

Microsoft certifications in Azure, Data, or AI

Why Join Cyann.ai Work on real-world AI and ML projects using Microsoft platforms

Join a focused Microsoft partner with strong technical ownership

Opportunity to influence solution design and delivery standards

Collaborative environment with experienced data and cloud engineers

Competitive compensation and clear growth paths