Cutting-Edge AI Developer

3 days ago


India Recro Full time
Job Description

We are a pioneering EdTech company dedicated to revolutionizing the learning experience through cutting-edge technology. Our platform utilizes AI and ML to deliver personalized learning experiences, helping students achieve their educational goals efficiently.

About Recro

We strive to push the boundaries of what is possible in education, leveraging AI to create a more immersive and engaging learning environment. Our team consists of talented individuals passionate about using technology to drive innovation.

Estimated Salary: ₹1,200,000 - ₹1,500,000 per annum

Key Responsibilities:

  • Data Analysis and Interpretation: Develop and implement classical AI/ML algorithms to analyze and interpret large datasets.
  • NLP Techniques: Utilize NLP techniques to understand and process user inputs and educational content.
  • Data Cycle: Engage in the full data cycle from cleaning and analysis to model deployment and monitoring.
  • Cross-Functional Collaboration: Collaborate with cross-functional teams to integrate AI features into the platform.
  • AI Advancements: Stay updated with the latest AI/ML advancements to ensure our technology remains cutting-edge.

Qualifications:

  • Fresh Graduate: Fresh graduate with a strong academic record in Computer Science, Data Science, Statistics, or a related field.
  • Programming Skills: Proficiency in Python and familiarity with AI/ML frameworks and libraries.
  • AI Experience: Experience with NLP, computational techniques, classification, and regression models.
  • Problem-Solving Skills: Strong problem-solving skills and ability to handle complex data scenarios.
  • Communication Skills: Excellent communication skills and ability to work in a team environment.

Preferred Skills:

  • Ai/ML Projects: Experience working on AI/ML projects, particularly in an educational context.
  • Advanced AI Techniques: Knowledge of prompts, LLMTs, and other advanced AI techniques.
  • Algorithmic Workflows: Exposure to algorithmic workflows and model training optimizations.


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