What you’ll do:

Solution Design and Architecture:

• Design and architect AI/ML solutions using Azure services (Azure Machine Learning, Cognitive Services, Bot Services, etc.).
• Collaborate with stakeholders to gather requirements, provide strategic insights, and create AI-driven solutions that align with business objectives.

Model Development & Deployment:

• Build, train, and deploy machine learning models on Azure.
• Use Azure tools for data wrangling, preprocessing, and model evaluation.
• Ensure that AI models are scalable and optimized for performance in production environments.

Azure AI Services Integration:

• Integrate Azure AI services (e.g., Natural Language Processing, Computer Vision, and Speech APIs) into applications to deliver intelligent experiences.
• Customize Cognitive Services to meet specific business needs.

Data Management:

• Work with data engineers and data scientists to ensure the proper setup of data pipelines and Azure Data Lake for AI model training.
• Optimize data storage and retrieval processes for AI workloads.

Cloud Optimization & Security:

• Ensure the AI solutions are secure, scalable, and cost-effective within the Azure cloud environment.
• Apply cloud security principles, data privacy laws, and best practices when working with sensitive data.

Collaboration & Stakeholder Management:

• Partner with development teams, data scientists, product managers, and business leaders to ensure seamless implementation of AI solutions.
• Educate stakeholders on the benefits and limitations of AI in business operations.

Continuous Learning & Innovation:

• Stay updated on the latest Azure AI and machine learning advancements, incorporating new techniques and services into existing solutions.
• Participate in hackathons, workshops, and conferences to enhance expertise in AI and Azure.

Your expertise:

• 3+ years of experience working with Azure AI/ML services.
• Experience working in industries like healthcare, finance, or retail where AI can have a significant impact.

Technical Expertise:

• In-depth knowledge of Microsoft Azure AI services (Azure Machine Learning, Azure Cognitive Services, AI Bots, etc.).
• Proficiency in machine learning algorithms and frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with programming languages like Python, R, or C#.
• Strong knowledge of data pipelines, data lakes, and database services (Azure Data Factory, Azure SQL, Databricks).
• Understanding of MLOps and DevOps practices for AI/ML deployment.

Cloud and Security Knowledge:

• Hands-on experience with cloud infrastructure and AI service integration in Azure.
• Familiarity with cloud governance, compliance, and security protocols in Azure.

Analytical and Problem-Solving Skills:

• Ability to design end-to-end AI solutions tailored to business challenges.
• Strong troubleshooting and optimization skills in AI/ML environments.

Communication Skills:

• Ability to explain technical concepts to non-technical stakeholders and executives.
• Experience with creating technical documentation and providing AI solution demos.

Other

Qualifications required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Azure certifications such as Azure AI Engineer Associate, Azure Solutions Architect Expert, or similar.
• Azure Certifications (AI-100, AI-102, DP-100, or equivalent).