Description

You will develop, fine-tune, and deploy machine learning models to analyze calls and generate actionable insights.

This role is on-site.

Responsibilities

• Research, modify, and apply data science and analytics prototypes to meet client needs.
• Train and retrain ML systems while sourcing training datasets from available sources.
• Perform statistical analysis on test findings to improve model performance.
• Conduct data exploration and visualization to identify distribution discrepancies affecting model effectiveness.
• Evaluate and rank ML algorithms based on application cases and problem-solving potential.

Required Skills

• 3-4 years of experience in machine learning using Python.
• Strong understanding of conversational AI and Natural Language Processing (NLP).
• Familiarity with OpenAI models, Llama 2, Gemini, and Aphrodite.
• Experience with domain-specific models like Mistral AI and agriculture-related use cases.
• Proficiency in Python, Java, C++, C, R, or JavaScript.
• Practical understanding of ML frameworks, libraries, and packages.
• Solid grasp of software architecture, data modeling, and data structures.
• Knowledge of computer architecture and general data science principles.

Key Skills

Education

Any Graduate