Senior AI DevOps Engineer

📋 Description

• Develop and sustain our AI platform utilizing Azure AI Studio and AWS Bedrock.

• Implement and enhance AI algorithms and models for optimal performance.

• Work collaboratively with cross-functional teams to comprehend business needs and create effective AI solutions.

• Integrate AI technologies, including Cognitive Services, into our platform.

• Keep abreast of the latest developments in AI and ML and suggest innovative solutions.

• Ensure that the AI platform is scalable, reliable, and performs efficiently.

• Collaborate with cross-functional teams to collect and analyze requirements for AI and software development initiatives.

• Design, develop, and maintain AI-driven applications while adhering to coding standards and best practices.

• Leverage Power Apps, Power Automate, AI Builder, and Azure AI Studio to devise innovative and efficient solutions.

• Coordinate development, testing, and deployment efforts for assigned AI solutions and enhancements.

• Create and maintain APIs, integrations, and connectors to improve system functionalities.

• Conduct and review all DevOps activities across various cloud platforms, including Azure, AWS, OCI, and GCP.

• Support the implementation of governance, data sensitivity, security, and operational requirements based on established policies.

• Perform comprehensive testing, debugging, and performance optimization to ensure quality and reliability.

• Troubleshoot and resolve issues, conducting root cause analysis when necessary.

• Monitor progress, risks, dependencies, and delivery timelines; escalate issues as required.

• Ensure compliance with engineering best practices, including code quality, testing, documentation, and CI/CD processes.

• Collaborate with team members, providing technical guidance, mentorship, and support.

• Stay informed on industry trends and advancements in AI, automation, and cloud technologies.

• Ensure timely completion of assigned projects and deliverables.

• Fulfill all responsibilities as outlined in the annual performance review and/or goal-setting process.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• At least 7 years of experience in AI and ML development.

• Proficiency in Azure AI Studio, Cognitive Services, Azure, AWS, AWS Bedrock, and Sage Maker.

• Strong programming skills in languages such as Python, Java, or C++.

• Experience with data preprocessing, feature engineering, and model evaluation.

• Familiarity with deep learning frameworks like TensorFlow or PyTorch.

• Experience with RAG (Retrieve, Analyze, Generate) models is a plus.

• Familiarity with developing custom AI models and algorithms.

• Knowledge of LLama (Language Learning and Multilingual Applications) custom development is highly desired.

• Experience with natural language processing (NLP) and text analytics.

• Understanding of cloud-based AI services and platforms.

• Strong understanding of machine learning techniques and frameworks.

• Proven record of successfully delivering AI projects.

• Knowledge of data engineering and data visualization techniques.

• Familiarity with DevOps practices for AI/ML deployments.

🏝️ Benefits

• Medical, dental, vision, disability, and life insurance coverage.

• 401(k) savings plans.

• Paid family leave.

• 9 paid holidays per year.

• 17-27 days of Paid Time Off (PTO) per year.