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7 часов назад

Lead Associate - Data / AI

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK/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
Lead Associate - Data / AI (Machine Learning, Azure): Leading the design, deployment, and monitoring of machine learning and generative AI solutions with an accent on enterprise architecture, MLOps, and model governance. Focus on building production-grade ML pipelines with Azure, Microsoft Fabric, Databricks, and Python, while guiding technical teams and translating business use cases into scalable AI systems.

Location: Pune, India; hybrid workplace

Company

hirify.global is a professional services and technology firm delivering risk, insurance, digital transformation, and technology solutions to highly regulated and global businesses.

What you will do

  • Lead the design, development, deployment, and monitoring of machine learning and generative AI solutions.
  • Define enterprise AI standards, architecture patterns, MLOps practices, and model governance frameworks.
  • Partner with business leaders to identify high-value use cases and translate them into scalable AI solutions.
  • Guide and mentor data scientists, ML engineers, analytics teams, and developers.
  • Oversee the model lifecycle, including feature engineering, training, evaluation, deployment, drift monitoring, and retraining.
  • Create AI roadmaps, measure business outcomes, and present technical recommendations to technical and non-technical stakeholders.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field; a Master’s degree is preferred.
  • 7+ years of experience in data science, machine learning, analytics, or software engineering.
  • 3+ years of experience leading technical teams or complex AI initiatives.
  • Deep expertise in machine learning algorithms, predictive modeling, NLP, LLMs, and generative AI.
  • Strong proficiency in Python, SQL, and cloud-based data platforms.
  • Hands-on experience with Azure AI Services, Azure Machine Learning, Microsoft Fabric, Power BI, MLOps, CI/CD, model monitoring, and production-grade ML solutions.

Culture & Benefits

  • Work within a global team of more than 8,000 professionals operating across ten countries.
  • Contribute to research and development, innovation, automation, colleague development, and client service.
  • Support insurance, financial services, public sector, and other highly regulated clients.

Hiring process

  • Stage 1: Applied.
  • Stage 2: Hired.

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