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8 часов назад

Software Engineer II (Machine Learning)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer II (Machine Learning): Developing large-scale data pipelines and deep learning systems with an accent on sequence and time-series modeling, agentic workflows, and production MLOps. Focus on training, evaluating, optimizing, and monitoring machine learning models in production.

Location: Gurgaon, India; hybrid working opportunities

Company

hirify.global is a quantitative trading firm developing electronic trading infrastructure and supporting independent trading teams with market access, data, compute, research infrastructure, risk management, and business services.

What you will do

  • Develop data pipelines for collecting, processing, and analyzing diverse datasets at scale.
  • Design and implement deep learning architectures for large-volume data processing.
  • Conduct experiments and tests to evaluate model performance and identify improvements.
  • Build and manage agentic workflows for scalable AI and machine learning solutions.
  • Fine-tune machine learning models and build pipelines for monitoring and continuously improving production models.

Requirements

  • Bachelor’s, master’s, or PhD degree in computer science or a related field.
  • 2–6 years of relevant experience.
  • Experience training, building, and deploying large-scale deep learning models.
  • Experience designing and implementing sequence and time-series models.
  • Expertise in Python and hands-on experience with PyTorch or TensorFlow.
  • Experience with Git, CI/CD pipelines, MLOps, Linux, SQL, and Bash scripting.

Culture & Benefits

  • Collaborative, welcoming, and results-oriented working environment with minimal hierarchy.
  • Generous paid time off policies.
  • Savings plans and financial wellness tools available by region.
  • Breakfast, lunch, and snacks provided daily.
  • Wellness experiences, fitness reimbursements, sports teams, and company events.
  • Volunteer opportunities, charitable giving, workshops, and continuous learning opportunities.

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