Principal Data Scientist AI / ML

Bachelors / Masters of Engineering in Computer Science, Statistics, Mathematics, or a related technical field.

• 15+ years of total experience in software industry, preferably working with data analytics.
• In-depth experience in building and maintaining large-scale, enterprise-grade machine learning / AI models.
• Strong understanding of the entire machine learning lifecycle, from data exploration to production.
• Proficiency with one or more of the following programming languages: Python, R, SQL.
• Proficiency in tools such as Jupyter, Git, and cloud-based ML services.
• In-depth knowledge of various machine learning algorithms (supervised, unsupervised, deep learning) and their applications.
• Expertise in machine learning frameworks like scikit-learn, TensorFlow, or PyTorch for model development and training.
• Experience working with text and/or image data for machine learning tasks (Natural Language Processing, Computer Vision).
• Hands-on experience with data visualization tools such as Tableau or PowerBI.
• Excellent problem-solving and analytical skills with a passion for innovation.
• Strong communication, collaboration, and leadership skills to effectively lead and influence cross-functional teams.
• Experience with cloud platforms (AWS, Azure, GCP) for machine learning deployments.
• Experience with MLOps practices for automating and managing the ML lifecycle.
• Experience with explainable AI (XAI) techniques for interpreting model behavior.
• Strong software engineering skills (Python) and experience with building production-grade pipelines.