Artificial Intelligence Engineer
15 hours ago
Job Description: Conversational AI Expert
Location:
Onsite – Noida
Department:
AI/ML
Experience:
2+ Years
About the Role
We are looking for a
Conversational AI Expert
to design, develop, and deploy AI/ML models for our
multimodal EdTech platform
. The ideal candidate will work closely with the AI/ML Lead to build intelligent systems that understand student context, personalize learning journeys, and enhance engagement through text, voice, and visual AI capabilities.
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.
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