Description

You will architect and deploy AI/ML solutions across the full lifecycle, from proof-of-concept to production.

Responsibilities

• Architect and develop proof-of-concept solutions for Agentic AI, Generative AI, and Machine Learning.
• Drive the AI/ML roadmap by aligning data science projects with business objectives.
• Perform hands-on data wrangling and AI model development.
• Maintain standards for ethical and regulatory-compliant AI usage.
• Collaborate with product, engineering, and business stakeholders using Agile processes like Scrum and Kanban.

Required Skills

• 5+ years of experience in data science or AI, including 5-6 months of Agentic AI experience.
• Proven track record of deploying Agentic AI, Generative AI, and ML projects into production.
• Hands-on experience with Agentic AI development and deployment.
• Proficiency with Python and relevant data science libraries.
• Experience using Databricks and MLflow for model training, deployment, and management.
• Experience working with large datasets on AWS and Databricks.
• Strong understanding of statistical modeling, machine learning algorithms, and data mining.
• Bachelor's degree in Statistics, Data Science, Computer Engineering, Mathematics, or a related field.

Preferred Skills

• Master's degree in a quantitative field.
• Experience integrating AI with IoT/event data.
• Experience with real-time and batch inference integration with SaaS applications.
• International team management experience and track record of product launches in regulated environments.

Key Skills

Education

Bachelor's degree