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9 часов назад

ML Engineer (AI)

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

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TL;DR

ML Engineer (AI): Building and optimizing scalable, production-ready AI solutions with an accent on MLOps capabilities, feature engineering, and robust monitoring systems. Focus on accelerating time-to-market for business solutions by developing reusable components and ensuring the reliability of ML-driven systems in production.

Location: Bengaluru, India (Hybrid)

Company

hirify.global is a global programmatic media partner for marketers and agencies, focused on leading and improving the programmatic industry.

What you will do

  • Build scalable, production-ready AI solutions that bridge Data Science and Software Engineering.
  • Develop reusable components to accelerate rapid prototyping and deployment of solutions.
  • Design and implement monitoring systems to track the performance and reliability of ML-driven solutions.
  • Improve time-to-market for key business solutions by reducing model training and deployment time.
  • Socialize MLOps capabilities across the organization by establishing best practices and standards.
  • Collaborate closely with Data Science, Product, and Engineering stakeholders to ensure seamless deployment and maintainability of ML solutions.

Requirements

  • 2 - 4 years of hands-on experience deploying and monitoring Machine Learning Models in production.
  • Strong proficiency in Python and familiarity with distributed data processing frameworks like PySpark.
  • Excellent grasp of the basics of Machine Learning, Statistics, and Probability.
  • Experience with building scalable ETL pipelines for efficient feature storage, processing, and retrieval.
  • Experience building and deploying end-to-end model training, inferencing, and retraining pipelines.
  • Familiarity with standard best practices like version control, CI/CD for code management, unit testing, and quality code standards.

Nice to have

  • Hands-on experience with distributed data processing frameworks like Ray.
  • Hands-on experience with designing and maintaining Feature Stores.

Culture & Benefits

  • Hybrid work environment.
  • New hire orientation with job-specific onboarding and training, plus internal and global mobility opportunities.
  • Competitive healthcare benefits, bonus, and performance incentives.
  • Generous annual PTO, paid parental leave, and two additional paid days for holidays, cultural events, or inclusion initiatives.
  • Access to employee resource groups designed to connect people across all hirify.global regions, drive action, and support communities.
  • Values-driven culture emphasizing Passion, Determination, Agility, Unite, and Courage.

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