AI/Machine Learning Manager
Insight Global - dallas, TX
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Essential Responsibilities:Work with partners and stakeholders in Data Science and other teams across the organization to build strategic plans and roadmapsDrive the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organizationServes as an empowering coach to the team by providing them with the resources, training, feedback, and a sounding-board to be successful in their rolesDevelop people through effective communication and ongoing feedbackManage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basisCommunicate effectively with associates at various levels and technological knowledge, ensuring alignment and support for team objectives with stakeholders and Senior LeadershipCreate an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experienceWork through others to deliver resilient and scalable technology solutions that solve for complex business problemsHelp drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and TechnologyStay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can beMinimum Qualifications:Bachelor's Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience7+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learningartificial intelligence, cloud computing, systems engineering3+ years' experience managing direct reports3+ years' experience with microservices software architecture3+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support3+ years' experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologiesDemonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the futureProven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellenceProficient in developing in PythonExperience with scripting languages such as shell scriptsExperience in DevOps practices, testing frameworks, and CICDExperience with Model Development and Deployment (MLFlow, Azure ML)Experience with container orchestration (Kubernetes, Docker)Experience communicating and working across functions to drive organization-wide solutionsSalary Range is $150,000-$175,000 annually Preferred Qualifications:Previous experience deploying large-scale applications on AzureFamiliarity with MLOps and industry-standard machine-learning Python librariesExperience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)Advanced AIML specializations (reinforcement learning, deep learning, NLP)Proficient in an object-oriented programming language (i.e. C#, Java)Experience using large language models (LLMs) with semantic search frameworks for chatbot implementationsSoftware Specific Qualifications:Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologiesProficiency developing and debugging in PythonExperience with Model Development and Deployment (MLFlow, Azure ML)Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)Experience with scripting languages such as shell scriptsExperience in DevOps practices, testing frameworks, and CICDProficiency in version control systems (Git) for AIML model versioningExperience with container orchestration (Kubernetes, Docker)
Created: 2024-10-13