SHI International Corp.
Sr. Machine Learning Engineer
SHI International Corp., Austin, Texas, us, 78716
Job Summary
We 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. You 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. This position is required to report to the SHI Austin, TX office location as determined by SHI management. Responsibilities
Include but not limited to: Lead initiatives to develop and execute a governance model for AI/ML and other analytics Design, develop, and implement ML solutions; ensure familiarity with SageMaker, AWS Glue, Copilot, Chat GPT, and Open AI, and/or Microsoft AI technologies Measure and communicate AI/ML impact on the business and drive continuous improvement Analyze data and translate recommendations into actionable items for end users Assess and monitor performance, ensuring systems remain compliant with standards and secure against cybersecurity threats Lead complex, data-driven research projects impacting SHI’s business Explore and execute analytical solutions for various problems Acquire, analyze, and act on complex data sets; create ETL jobs; explore, inspect, and clean data; engineer features Train, validate, test, deploy, and maintain machine learning models in production environments Organize and lead meetings with stakeholders; collaborate with internal groups to achieve project goal Stay updated on data science, statistics, machine learning, and AI developments Ensure ML models are scalable, reliable, and efficient; integrate models with systems and platforms; optimize model performance Document design specifications, processes, models, and systems for transparency and reproducibility Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Engineering, Mathematics, or a related field Minimum of 5 years of experience in machine learning, with exposure to software engineering best practices 2 years of direct experience using technologies like SageMaker, AWS Glue, Copilot, Chat GPT, or Open AI, and/or Microsoft AI technologies Demonstrated experience in developing and deploying machine learning models in production environments Deep understanding of machine learning algorithms, data structures, and software design principles Required Skills
Proficiency in programming languages such as Python, Java, or C++ Extensive experience with machine learning frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn Solid understanding of software engineering principles, including version control (Git), testing, and CI/CD pipelines Strong skills in data preprocessing, feature engineering, and data analysis using tools like Pandas and NumPy Proficiency with platforms such as SageMaker, AWS Glue, Copilot, Chat GPT, and Open AI, and/or Microsoft AI technologies Ability to learn and work with new ML models, and Large Language Models (LLMs) Experience with cloud platforms such as AWS, GCP, or Azure for deploying and managing machine learning models Expertise in designing and supporting AI and ML creation and delivery Experience in analyzing business requirements, recommending and designing technical solutions Ability to write detailed and concise technical and design specifications Excellent analytical and problem-solving skills, capable of handling complex projects and delivering effective solutions Proficient in system security best practices Adaptability to changing priorities; can conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilities Strong ability to work independently or in a team-oriented, collaborative environment Ability to take initiative and prioritize tasks, manage time, problem prevention, and problem-solving skills Unique Requirements
Position requires up to 10% of travel as determined by SHI Management
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We 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. You 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. This position is required to report to the SHI Austin, TX office location as determined by SHI management. Responsibilities
Include but not limited to: Lead initiatives to develop and execute a governance model for AI/ML and other analytics Design, develop, and implement ML solutions; ensure familiarity with SageMaker, AWS Glue, Copilot, Chat GPT, and Open AI, and/or Microsoft AI technologies Measure and communicate AI/ML impact on the business and drive continuous improvement Analyze data and translate recommendations into actionable items for end users Assess and monitor performance, ensuring systems remain compliant with standards and secure against cybersecurity threats Lead complex, data-driven research projects impacting SHI’s business Explore and execute analytical solutions for various problems Acquire, analyze, and act on complex data sets; create ETL jobs; explore, inspect, and clean data; engineer features Train, validate, test, deploy, and maintain machine learning models in production environments Organize and lead meetings with stakeholders; collaborate with internal groups to achieve project goal Stay updated on data science, statistics, machine learning, and AI developments Ensure ML models are scalable, reliable, and efficient; integrate models with systems and platforms; optimize model performance Document design specifications, processes, models, and systems for transparency and reproducibility Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Engineering, Mathematics, or a related field Minimum of 5 years of experience in machine learning, with exposure to software engineering best practices 2 years of direct experience using technologies like SageMaker, AWS Glue, Copilot, Chat GPT, or Open AI, and/or Microsoft AI technologies Demonstrated experience in developing and deploying machine learning models in production environments Deep understanding of machine learning algorithms, data structures, and software design principles Required Skills
Proficiency in programming languages such as Python, Java, or C++ Extensive experience with machine learning frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn Solid understanding of software engineering principles, including version control (Git), testing, and CI/CD pipelines Strong skills in data preprocessing, feature engineering, and data analysis using tools like Pandas and NumPy Proficiency with platforms such as SageMaker, AWS Glue, Copilot, Chat GPT, and Open AI, and/or Microsoft AI technologies Ability to learn and work with new ML models, and Large Language Models (LLMs) Experience with cloud platforms such as AWS, GCP, or Azure for deploying and managing machine learning models Expertise in designing and supporting AI and ML creation and delivery Experience in analyzing business requirements, recommending and designing technical solutions Ability to write detailed and concise technical and design specifications Excellent analytical and problem-solving skills, capable of handling complex projects and delivering effective solutions Proficient in system security best practices Adaptability to changing priorities; can conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilities Strong ability to work independently or in a team-oriented, collaborative environment Ability to take initiative and prioritize tasks, manage time, problem prevention, and problem-solving skills Unique Requirements
Position requires up to 10% of travel as determined by SHI Management
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