
AI Engineer
8 hours ago
Job Description – AI Engineer (Vakta AI)
Department:
Artificial Intelligence / Product Engineering
Project:
Vakta AI
Location:
Ahmedabad
Experience Required:
1 – 2 Years
Employment Type:
Full-time
About Vakta AI
Vakta AI
is an advanced
Speech Intelligence and Conversational AI platform
that aims to redefine human–machine communication. It seamlessly integrates
Automatic Speech Recognition (ASR)
,
Natural Language Processing (NLP)
, and
Text-to-Speech (TTS)
technologies to enable multilingual, context-aware, and emotionally intelligent interactions.
The platform helps
enterprises and developers
build
human-like voice assistants
capable of understanding tone, intent, and emotion, delivering real-time conversations across multiple languages. Vakta AI is at the forefront of next-generation voice automation and digital communication technology.
Role Overview
We're seeking a highly motivated
AI Engineer
with
1–2 years of experience
in
Machine Learning (ML)
,
Deep Learning (DL)
, or
Natural Language Processing (NLP)
.
You'll be part of the
Vakta AI engineering team
, responsible for developing, fine-tuning, and deploying AI models that drive the platform's conversational and speech intelligence capabilities.
Key Responsibilities
- Design, develop, and optimize
ML/DL/NLP models
for speech and text processing. - Work with
ASR and TTS systems
, focusing on accuracy, speed, and real-time integration. - Pre-process and clean large datasets for training and validation.
- Implement
Transformer, RNN, and CNN
architectures using
TensorFlow or PyTorch
. - Integrate AI models into production pipelines via
APIs or microservices
. - Collaborate with cross-functional teams (data science, backend, and product managers).
- Monitor model performance and continuously improve accuracy, latency, and robustness.
Required Skills & Qualifications
- Bachelor's / Master's in
Computer Science
,
AI
,
Data Science
, or related field. - 1–2 years of experience in
ML/DL/NLP model development
. - Proficiency in
Python
and libraries like
NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch
. - Experience with
LLMs (Large Language Models)
and
speech recognition
systems. - Familiarity with
Hugging Face
,
OpenAI APIs
, or
LangChain
frameworks. - Strong analytical and problem-solving skills.
- Ability to work collaboratively in a fast-paced, innovative environment.
Preferred (Added Advantage)
- Experience with
ASR frameworks
(Whisper, Kaldi, Vosk). - Knowledge of
vector databases
(Pinecone, FAISS). - Exposure to
MLOps
and deployment on
AWS/GCP/Azure
. - Experience with
voice cloning
,
emotion detection
, or
speech synthesis
.
What We Offer
- Opportunity to work on cutting-edge AI and speech technologies.
- A collaborative, growth-driven environment with leading AI experts.
- Competitive salary and performance-based incentives.
- Skill development and career advancement in applied AI and research.
- Work on real-world problems that impact millions of users globally.
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