USAA
USAA
USAA AQSh harbiy xizmatining amaldagi va sobiq a’zolari hamda ularning oilalariga xizmat ko‘rsatishga yo‘naltirilgan moliyaviy xizmatlar kompaniyasidir. Kompaniya takliflari xavfsiz raqamli vositalar va a’zolarga yo‘naltirilgan xizmat ko‘rsatish orqali qo‘llab-quvvatlanadigan bank, sug‘urta va investitsiya mahsulotlarini qamrab oladi. USAA a’zolariga moliyaviy hayotini boshqarishda yordam berish uchun moliyaviy texnologiyalar, xatarlarni boshqarish, operatsiyalar va mijozlar tajribasi yo‘nalishlarida ishlaydigan jamoalarni birlashtiradi.

Mid-Level AI/ML Engineer

Build machine learning, generative AI, and data pipeline solutions for USAA’s financial services serving the military community. Develop cloud infrastructure and production systems in a hybrid role.

Tavsif

  • Manage the data and machine learning lifecycle, from requirements analysis and data preparation to statistical analysis, model monitoring, and risk controls.
  • Build and maintain systems that use machine learning models for classification and decision-making.
  • Work with data scientists and business stakeholders to align predictive analytics solutions with business goals.
  • Develop, test, deploy, and integrate business application processes that use machine learning predictions and classifications.
  • Turn data scientists’ code into maintainable IT solutions that follow coding standards and best practices.
  • Set up and manage AI/ML infrastructure in cloud and on-premises environments, including AWS, GCP, and graph databases.
  • Lead machine learning engineering across solution design, data pipelines, testing, deployment, scheduling, production support, APIs, and application integration.
  • Support generative AI applications, machine learning frameworks and libraries, and models.
  • Design and implement complex machine learning, artificial intelligence, and generative AI solutions.
  • Build proofs of concept and prototypes for complex initiatives.
  • Work with engineers and teams to assess new technologies and alternatives.
  • Develop, maintain, and uphold data development tools and standards.
  • Review code regularly to improve quality and ensure compliance.
  • Identify, assess, monitor, and manage risks in line with risk and compliance policies.

Talablar

  • Bachelor’s degree, or four years of relevant education and/or experience.
  • Four years of experience in machine learning engineering, data engineering, or software development implementing data solutions.
  • Strong programming skills in Python, R, Java, or similar languages.
  • Extensive experience with data engineering and data pipelines.
  • Experience delivering end-to-end machine learning solutions, including building, integrating, and optimizing data pipelines.
  • Experience preparing and modeling data for data marts, data lakes, and operational analytics applications.
  • Working knowledge of MLOps principles and automated workflows.
  • Knowledge of data science principles and experience with data science methods.
  • Familiarity with statistical and predictive modeling techniques and machine learning concepts.
  • Strong communication skills and ability to work in a collaborative team.
  • Extensive experience with at least one cloud platform and its components, such as AWS SageMaker.
  • Must not need immigration support or visa sponsorship now or in the future.

Imtiyozlar

  • Remote or hybrid flexibility may be available to active-duty military spouses, subject to policy and business needs.
  • Relocation assistance is not available.
  • Performance-based pay incentives may be offered at the discretion of the USAA Board of Directors, based on corporate and individual results.
  • Medical, dental, and vision plans.
  • 401(k) plan.
  • Pension.
  • Life insurance.
  • Parental benefits.
  • Adoption assistance.
  • Paid time off program.
  • Paid holidays.
  • 16 paid volunteer hours.
  • Wellness programs.
  • Career path planning.
  • Continuing education assistance.

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