Artificial Intelligence Engineer

Location:

Department:

Experience:

About the Role

Conversational AI Expert

In this role, you will work on conversational AI systems, recommendation engines, OCR for handwritten notes, predictive analytics, and adaptive learning algorithms that respond to student behavior and emotional states.

Key Responsibilities

• Develop and deploy

  conversational AI models

  , including dialogue systems, context managers, and NLP pipelines.
• Build

  personalization and recommendation engines

  to enhance student learning experiences.
• Implement

  OCR models

  for handwritten educational content.
• Work with AI/ML Lead to design

  multimodal AI features

  (text, voice, and visual).
• Develop predictive analytics models for

  student performance and engagement

  .
• Integrate

  vector databases

  and semantic search for efficient knowledge retrieval.
• Optimize ML model performance through

  A/B testing

  , monitoring, and tuning.
• Collaborate with product and engineering teams to deploy real-time inference solutions.

Required Skills

• 2+ years

  of hands-on AI/ML engineering experience.
• Strong expertise in

  NLP

  , conversational AI, chatbots, and dialogue management.
• Experience with

  recommendation systems

  and personalization algorithms.
• Proficiency in

  Python

  and ML frameworks (TensorFlow, PyTorch, etc.).
• Experience with

  vector databases

  (FAISS, Pinecone, Milvus) and

  semantic search

  .
• Familiarity with

  LLMs

  , fine-tuning, prompt engineering, and model integration.
• Strong understanding of

  A/B testing

  and AI model optimization.

Nice to Have

• Experience integrating

  speech-to-text (STT)

  and

  text-to-speech (TTS)

  systems.
• Exposure to

  multimodal AI

  (text + voice + visual).
• Knowledge of

  predictive analytics

  and student behavior modeling.
• Prior experience in

  EdTech

  or consumer-facing AI/ML applications.
• Experience with

  real-time inference

  optimization and model deployment.

Why Join Us?

• Work on cutting-edge

  multimodal AI projects

  in the EdTech domain.
• Opportunity to shape new-age learning through

  personalized AI systems

  .
• Collaborative culture with strong focus on innovation and experimentation.