01
TRPD-26-05671
Senior Data Scientist (Text/Audio ML)
Senior Data Scientist to build and optimize production-ready machine learning and deep learning models in Text and/or Audio (optionally Imaging) to improve communication features. The role involves research/POCs, developing scalable algorithms, tuning and optimizing existing models for performance, and contributing to internal R&D toolsets. Strong hands-on coding in Python and C/C++ plus experience with modern ML/DL frameworks (e.g., PyTorch/TensorFlow) and NLP/audio feature knowledge are required.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 8 years and Maximum 12 years
Role overview
Why This Role Matters.
Senior Data Scientist to build and optimize production-ready machine learning and deep learning models in Text and/or Audio (optionally Imaging) to improve communication features. The role involves research/POCs, developing scalable algorithms, tuning and optimizing existing models for performance, and contributing to internal R&D toolsets. Strong hands-on coding in Python and C/C++ plus experience with modern ML/DL frameworks (e.g., PyTorch/TensorFlow) and NLP/audio feature knowledge are required.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Research and implement POCs for new products and ideas.
03
Develop highly scalable algorithms and models leveraging conventional machine learning and deep learning architectures.
04
Optimise existing algorithms and models for scalability and performance.
05
Contribute to our existing tool sets for advanced research and development.
06
MSc degree in Computer Science or related field
07
Industry Experience: 7 – 12 years
08
5+ years proven experience in the field of Machine Learning.
09
4+ years proven coding experience in Python, C/C++
10
Knowledge and experience with machine learning tools and frameworks such as: Scikit-learn, Keras, PyTorch, Tensorflow, Tensorboard, spaCy, nltk, pandas, numpy, jupyter, seaborn
11
Experience with: Feature exploration, Feature reduction, DNN, Hyper-parameter tuning, Transformers, AutoEncoders, Transfer learning.
12
Knowledge and experience in statistical techniques: Regression, Boosting, Trees, Clustering etc.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
C
Required
03
C++
Required
04
Machine Learning
Required
05
Deep Learning
Required
06
scikit-learn
Required
07
Keras
Required
08
PyTorch
Required
09
TensorFlow
Required
10
TensorBoard
Required
11
spaCy
Required
12
NLTK
Required
13
pandas
Required
14
NumPy
Required
15
Jupyter
Required
16
seaborn
Required
17
Transformers
Required
18
Autoencoders
Required
19
Transfer Learning
Required
20
Hyperparameter tuning
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
7–12 years industry experience
5+ years machine learning experience
4+ years coding experience in Python
4+ years coding experience in C/C++
Production-ready model/algorithm development (hands-on)
Machine learning & deep learning model development and optimization for scalability/performance
Experience with ML/DL frameworks/tools: scikit-learn, Keras, PyTorch, TensorFlow, TensorBoard
NLP tooling: spaCy, NLTK
Data/analysis stack: pandas, numpy, Jupyter, seaborn
Feature exploration and feature reduction
Hyperparameter tuning
Deep learning architectures including DNNs
Transformers
Autoencoders
Transfer learning
Statistical/ML techniques: regression, boosting, decision trees, clustering
Domain experience in at least one: Text or Audio or Imaging (including domain feature knowledge)
MSc in Computer Science or related field
Preferred
Nice to Have
Kaldi
GRUs
Apache Spark
Amazon SageMaker
Staying up to date with recent advances in ML community
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Senior Data Scientist (Text/Audio ML)
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