AI Solutions Specialist

Job description:

• Architect, develop, and optimize AI and machine learning models using Azure Machine Learning, Cognitive Services, and Open AI.
• Lead the deployment of AI solutions in Azure Kubernetes Services (AKS), Azure Functions, and serverless architectures.
• Design and implement AI pipelines, MLOps workflows, and automation using Azure DevOps, MLflow, and CI/CD tools.
• Work with Azure Databricks, Azure Synapse Analytics, and Azure Data Factory to support AI model training and large-scale data processing.
• Optimize AI solutions for performance, stability, and cost efficiency in cloud environments.
• Implement AI governance, security, and responsible AI frameworks in compliance with industry standards.
• Research and integrate cutting-edge AI technologies, including deep learning, NLP, and generative AI models.
• Collaborate with data engineers, software developers, and business teams to integrate AI into enterprise applications.
• Mentor junior AI engineers and contribute to best practices for AIA development within the organization.
• Stay ahead of the industry trends and advancements in Azure AI, GPT models, and AI ethics.

Job Requirements:

• Minimum 3 years of experience in ML/DL/AI engineering or cloud platforms.
• Bachelors or Masters degree in Computer Science, Engineering, or related field.
• Proven experience in AI and machine learning model development.
• Expertise in Azure Machine Learning, Cognitive Services, and Open AI.
• Proficiency in AI pipelines, MLOps workflows, and automation (Azure DevOps, MLflow, CI/CD).
• Familiarity with Azure Databricks, Synapse Analytics, Data Factory, deep learning, NLP, and generative AI (added advantage).
• Experience with AKS, Azure Functions, and serverless architectures.
• Knowledge of AI governance, security, and responsible AI frameworks.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and handle changing priorities.