Sr. Machine Learning Engineer

Company: SHI International Corp.
Location: Austin
Posted on: April 4, 2025

Job Description:

Job SummaryWe 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.About UsSince 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.Over 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:

• Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
• Continuous professional growth and leadership opportunities.
• Health, wellness, and financial benefits to offer peace of mind to you and your family.
• World-class facilities and the technology you need to thrive - in our offices or yours.ResponsibilitiesInclude 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 reproducibilityQualifications
    • 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 principlesRequired 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 skillsPreferred Skills
        • Strong 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 strategies
        • Experience with deep learning architectures and techniques
        • Familiarity with big data technologies such as Apache Spark, Hadoop, and Kafka
        • Strong system design skills and experience building large-scale distributed systems
        • Experience with containerization (Docker) and orchestration (Kubernetes)
        • Knowledge of specific domains such as natural language processing, computer vision, or recommendation systems
        • Strong project management and leadership skillsUnique Requirements
          • Position requires up to 10% of travel as determined by SHI ManagementAdditional Information
            • The 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.
            • Equal Employment Opportunity - M/F/Disability/Protected Veteran Status.
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Keywords: SHI International Corp., Austin , Sr. Machine Learning Engineer, Engineering , Austin, Texas