Job SummarynnWe are seeking a highly skilled Senior Machine Learning Engineer to join our innovative team. This role is crucial in driving AI/ML adoption and integration within our organization. The ideal candidate will have a strong background in machine learning, software engineering, and data science, with a passion for solving complex problems and building scalable systems.nnYou will work in the development, deployment, and optimization of machine learning models, working closely with machine learning engineers, data engineers, software development engineers, and stakeholders. Your expertise in advanced analytics and AI/ML practices will enhance customer experience and business operations. Additionally, you will collaborate with business partners to explore innovation opportunities and shape cutting-edge applications.This role demands in-depth knowledge of AI/ML, business strategy, and change management, along with the ability to thrive in a multidisciplinary environment.nnThis position isrequiredto report to the SHI Austin,TXoffice location asdeterminedby SHI management.nnAbout UsnnSince 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $14 billion global provider of IT solutions and services.nnOver 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 6,000 of them. If you join our team, you’ll enjoy:nnOur commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.nnContinuous professional growth and leadership opportunities.nnHealth, wellness, and financial benefits to offer peace of mind to you and your family.nnWorld-class facilities and the technology you need to thrive – in our offices or yours.nnResponsibilitiesnnInclude but not limited to:nnLead initiatives to develop and execute a governance model for AI/ML and other analyticsnnDesign, develop, and implement ML solutions; ensure familiarity with SageMaker, AWS Glue, Copilot, Chat GPT, and Open AI, and/or Microsoft AI technologiesnnMeasure and communicate AI/ML impact on the business and drive continuous improvementnnAnalyze data and translate recommendations into actionable items for end usersnnAssess and monitor performance, ensuring systems remain compliant with standards and secure against cybersecurity threatsnnLead complex, data-driven research projects impacting SHI’s businessnnExplore and execute analytical solutions for various problemsnnAcquire, analyze, and act on complex data sets; create ETL jobs; explore, inspect, and clean data; engineer featuresnnTrain, validate, test, deploy, and maintain machine learning models in production environmentsnnOrganize and lead meetings with stakeholders; collaborate with internal groups to achieve project goalnnStay updated on data science, statistics, machine learning, and AI developmentsnnEnsure ML models are scalable, reliable, and efficient; integrate models with systems and platforms; optimize model performancennDocument design specifications, processes, models, and systems for transparency and reproducibilitynnQualificationsnnBachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Engineering, Mathematics, or a related fieldnnMinimum of 5 years of experience in machine learning, with exposure to software engineering best practicesnn2 years of direct experience using technologies like SageMaker, AWS Glue, Copilot, Chat GPT, or Open AI, and/or Microsoft AI technologiesnnDemonstrated experience in developing and deploying machine learning models in production environmentsnnDeep understanding of machine learning algorithms, data structures, and software design principlesnnRequired SkillsnnProficiency in programming languages such as Python, Java, or C++ Extensive experience with machine learning frameworks and libraries like TensorFlow, PyTorch, and Scikit-learnnnSolid understanding of software engineering principles, including version control (Git), testing, and CI/CD pipelinesnnStrong skills in data preprocessing, feature engineering, and data analysis using tools like Pandas and NumPynnProficiency with platforms such as SageMaker, AWS Glue, Copilot, Chat GPT, and Open AI, and/or Microsoft AI technologiesnnAbility to learn and work with new ML models, and Large Language Models (LLMs)nnExperience with cloud platforms such as AWS, GCP, or Azure for deploying and managing machine learning modelsnnExpertise in designing and supporting AI and ML creation and deliverynnExperience in analyzing business requirements, recommending and designing technical solutionsnnAbility to write detailed and concise technical and design specificationsnnExcellent analytical and problem-solving skills, capable of handling complex projects and delivering effective solutionsnnProficient in system security best practicesnnAdaptability to changing priorities;can conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilitiesnnStrong ability to work independently or in a team-oriented, collaborative environmentnnAbility to take initiative and prioritize tasks, manage time, problem prevention, and problem-solving skillsnnPreferred SkillsnnStrong knowledge of Large Language Models (LLMs), including their architectures, training processes, and applications. Experience with popular LLM (Large Language Models) frameworks and tools such as GPT, BERT, or similar, and a deep understanding of fine-tuning techniques and deployment strategiesnnExperience with deep learning architectures and techniquesnnFamiliarity with big data technologies such as Apache Spark, Hadoop, and KafkannStrong system design skills and experience building large-scale distributed systemsnnExperience with containerization (Docker) and orchestration (Kubernetes)nnKnowledge of specific domains such as natural language processing, computer vision, or recommendation systemsnnStrong project management and leadership skillsnnUnique RequirementsnnPosition requires up to 10% of travel as determined by SHI ManagementnnAdditional InformationnnThe estimated annual pay range for this position is $130,000 - $180,000. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual.nnEqual Employment Opportunity – M/F/Disability/Protected Veteran Status.nnRefer a friend to this job ( help finding the right job?nnWe can recommend jobs specifically for you!nnJob Locations US-TX-AustinnnRequisition ID 2024-17655nnApproved Min (Total Target Comp) USD $130,000.00/Yr.nnApproved Max (Total Target Comp) USD $180,000.00/Yr.nnCompensation Structure Flat BasennCategory Information Technology