обновлено 18 дней назад
Software Engineer II (Machine Learning)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer II (Machine Learning) (Python/Deep Learning): Building data pipelines, deep learning architectures, and production ML systems for large-scale quantitative trading infrastructure with an accent on sequence modeling, time-series analysis, and agentic AI workflows. Focus on training and deploying large-scale models, optimizing inference and performance, and designing MLOps pipelines for continuous monitoring and improvement.
Location: Gurgaon, India; hybrid working opportunities are available.
Company
Quantitative trading firm building high-performance electronic trading infrastructure and supporting independent systematic trading teams.
What you will do
- Develop data pipelines to collect, process, and analyze diverse datasets at scale.
- Design and implement deep learning architectures for large-volume data processing.
- Train, deploy, optimize, and fine-tune machine learning and deep learning models.
- Design sequence and time-series modeling solutions and evaluate model performance through experiments and testing.
- Build and manage agentic workflows for scalable AI/ML solutions.
- Maintain production MLOps pipelines for model monitoring, management, and continuous improvement.
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, MLOps, Linux, SQL, and Bash scripting.
Culture & Benefits
- Hybrid working opportunities and paid time off.
- Regional savings plans and financial wellness tools.
- Daily breakfast, lunch, and snacks, plus wellness experiences and selected wellness expense reimbursement.
- Sports teams, fitness events, volunteer opportunities, charitable giving, and social events.
- Workshops and continuous learning opportunities in a collaborative, low-hierarchy environment.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →