Senior Machine Learning Engineer

4 days ago

Austin, Texas, United States SHI GmbH Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our innovative team at SHI GmbH. 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.

Responsibilities
  • 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
Preferred Qualifications
  • Strong knowledge of Large Language Models (LLMs), including their architectures, training processes, and applications
  • 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 skills
About SHI GmbH

SHI GmbH is a global provider of IT solutions and services. We've grown every year since 1989 and today we're proud to be a $14 billion company. Over 17,000 organizations worldwide rely on our concierge approach to help them solve what's next.

We're committed to diversity and offer a range of benefits, including continuous professional growth and leadership opportunities, health, wellness, and financial benefits, and world-class facilities and technology.

This role requires up to 10% of travel as determined by SHI management.

The estimated annual pay range for this position is $130,000 - $180,000.

Equal Employment Opportunity – M/F/Disability/Protected Veteran Status.

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