7 часов назад
Lead Associate - Data / AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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