Description

Requirements:

• Bachelor's or master’s degree in computer science, data science, or a related field.
• 7–10 years of professional experience in data science, machine learning, or AI-related roles.
• Hands-on experience with AWS Cloud Stack.
• Expert-level proficiency in Python and experience with machine learning and GenAI libraries such as Hugging Face Transformers or scikit-learn.
• Strong coding skills, including robust machine learning code and version control (preferably Git).
• Experience across the project lifecycle, from business analysis to deployment.
• Experience working with databases (e.g., SQL).
• Deep understanding of machine learning , generative AI (LLMs, NLP, GANs).
• Proven track record with large-scale machine learning projects, and distributed computing frameworks
• Skilled in data manipulation, preprocessing, and feature engineering.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.

People Skills:

• Ability to translate business challenges into data science and GenAI solutions.
• Effectively communicate technical concepts to non-technical stakeholders.
• Strong team player, open to collaboration and new ideas.
• Curious, innovative, and eager to explore emerging approaches in AI and GenAI

Key Skills

Education

Bachelor's degree