Description

You will own the end-to-end lifecycle of ML solutions, from development to deployment.

This role is on-site.

Responsibilities

• Develop and deploy ML models using NLP, speech, computer vision, and structured data.
• Implement statistical ML algorithms, deep neural networks, and model ensembles.
• Tune and manage models, including quantization and pruning for large models.
• Apply supervised, unsupervised, and reinforcement learning patterns.
• Leverage hyperscaler AI capabilities across Azure, AWS, and GCP.

Required Skills

• 5+ years of experience as a Data Scientist.
• Proficiency in Python, R, and SQL.
• Experience with Statistical ML algorithms, Deep Neural Network architectures, and Model Ensembling.
• Familiarity with Generative AI models and ML for Responsible AI.
• Knowledge of model fine-tuning approaches for Large Language Models.
• Experience with data analysis tools, Auto ML, and model deployment/scaling.
• Understanding of software development practices and system architectures.
• Working knowledge of Azure, AWS, and GCP AI capabilities.

Key Skills

Education

Bachelor's degree