Senior AI/ML Speech & Text Analytics Engineer
Anicalls (Pty
All India • 1 month ago
Experience: 5 to 9 Yrs
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Job Description
As a candidate for this role at Q Degrees, you will be responsible for building advanced search engines and question answering systems using cutting-edge AI, ML, and NLU techniques. Your key responsibilities will include:
- Building text-based and voice-based search engines and question answering systems
- Developing methods for topic analysis, voice recognition, text classification, and named entity recognition for unstructured and semi-structured data
- Generating innovative solutions in Voice Bots and Chat Bots, potentially leading to patents
- Conducting voice/text mining, testing hypotheses, analyzing historical data, and identifying patterns
- Leading the development of Speech & Text Bots for enhanced language understanding and consumer insights
To excel in this role, you should possess:
- Proficiency in data structures, algorithms, and working in a Unix environment
- Experience in Machine Learning, including generative and discriminative models, neural networks, regression, classification, and clustering
- Proficiency in developing and deploying Voice Bots and Speech Bots / Speech to Text Models
- Strong background in applied statistics, modeling, and data mining techniques
- Extensive experience in NLP techniques such as HMM, CRF, deep learning, word2vec/doc2vec, Bayesian modeling, etc.
- Involvement in research communities like ACL, NIPS, ICML, EMNLP, etc. is a plus
- Ability to collaborate with IT developers and work independently under pressure
- Results-oriented mindset, problem-solving skills, and a deep understanding of NLP/NLU domains
This role offers the opportunity to work on cutting-edge technologies and contribute to the next generation of intelligence and language understanding. If you are a self-motivated individual with a passion for innovation and a strong analytical mindset, we encourage you to apply for this position at Q Degrees. As a candidate for this role at Q Degrees, you will be responsible for building advanced search engines and question answering systems using cutting-edge AI, ML, and NLU techniques. Your key responsibilities will include:
- Building text-based and voice-based search engines and question answering systems
- Developing methods for topic analysis, voice recognition, text classification, and named entity recognition for unstructured and semi-structured data
- Generating innovative solutions in Voice Bots and Chat Bots, potentially leading to patents
- Conducting voice/text mining, testing hypotheses, analyzing historical data, and identifying patterns
- Leading the development of Speech & Text Bots for enhanced language understanding and consumer insights
To excel in this role, you should possess:
- Proficiency in data structures, algorithms, and working in a Unix environment
- Experience in Machine Learning, including generative and discriminative models, neural networks, regression, classification, and clustering
- Proficiency in developing and deploying Voice Bots and Speech Bots / Speech to Text Models
- Strong background in applied statistics, modeling, and data mining techniques
- Extensive experience in NLP techniques such as HMM, CRF, deep learning, word2vec/doc2vec, Bayesian modeling, etc.
- Involvement in research communities like ACL, NIPS, ICML, EMNLP, etc. is a plus
- Ability to collaborate with IT developers and work independently under pressure
- Results-oriented mindset, problem-solving skills, and a deep understanding of NLP/NLU domains
This role offers the opportunity to work on cutting-edge technologies and contribute to the next generation of intelligence and language understanding. If you are a self-motivated individual with a passion for innovation and a strong analytical mindset, we encourage you to apply for this position at Q Degrees.
Skills Required
ML
Deep Learning
Text classification
Data structures
Algorithms
Unix environment
Machine Learning
Regression
Classification
Clustering
Modeling
NLP
CRF
ICR
Natural Language Processing
Natural Language Understanding
Entity extraction
Speech recognition
Parsing
Question answering
Ontology
AI
NLU
Voicebased search engine
Textbased search engine
Voice recognition
Named entity recognition
Voice Bots
Chat Bots
Generative model
Discriminative model
Neural network
Voice Bots Development
Speech Bots Development
Speech to Text Models
Applied statistics
Sampling approaches
Data mining techniques
HMM
Recurrent ANN
Word2vec
Doc2vec
Bayesian modeling
Topic modeling
Relation Extraction
Posted on: April 6, 2026
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