Key Responsibilities:

• Develop and deploy scalable machine learning models to address business challenges.
• Utilize NLP techniques to extract insights from unstructured text data.
• Implement graph neural networks to analyze relational data and uncover complex patterns.
• Conduct topic modeling to distill key themes from large datasets.
• Design, implement, and analyze experiments to inform data-driven decisions.
• Collaborate with cross-functional teams to identify, define, and solve challenging problems.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.
• Continuously stay updated with the latest advancements in data science, machine learning, and related fields.

Required Qualifications and Skills:

• Bachelor’s degree in computer science, Statistics, Mathematics, or a related field.
• Proven experience in machine learning, NLP, and generative AI.
• Proficiency in graph neural networks and topic modeling.
• Skills in deep learning architecture and training neural networks
• Strong programming skills in Python, R, or a similar language.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Ability to communicate complex technical concepts to non-technical audiences.

Preferred Qualifications and Skills:

• Master's or Ph.D. in a relevant field
• Bachelor’s from reputed college with keen desire to learn
• Experience in the design of experiments and statistical analysis.
• Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure).
• Strong project management and organizational skills.

Languages :

• English.