01
TRPD-26-05672
Machine Learning Engineer (Text & Audio)
Hiring a senior Machine Learning Engineer (7–11 years) in Bengaluru for a permanent role to build and integrate ML algorithms for text and audio use-cases that improve end-user communication features. Strong Python coding (4+ years) and hands-on ML experience (3+ years) are required, with practical use of common ML/NLP tooling (e.g., scikit-learn, PyTorch/TensorFlow, spaCy/nltk) plus data/ML ops exposure such as feature stores, ETLs, Docker, and non-relational databases. Nice-to-haves include C++, Elasticsearch, Kafka, Kubernetes, AWS, and Spark.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 8 years and Maximum 12 years
Role overview
Why This Role Matters.
Hiring a senior Machine Learning Engineer (7–11 years) in Bengaluru for a permanent role to build and integrate ML algorithms for text and audio use-cases that improve end-user communication features. Strong Python coding (4+ years) and hands-on ML experience (3+ years) are required, with practical use of common ML/NLP tooling (e.g., scikit-learn, PyTorch/TensorFlow, spaCy/nltk) plus data/ML ops exposure such as feature stores, ETLs, Docker, and non-relational databases. Nice-to-haves include C++, Elasticsearch, Kafka, Kubernetes, AWS, and Spark.
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.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
Machine Learning
Required
03
NLP
Required
04
Text
Required
05
Audio
Required
06
Scikit-learn
Required
07
Keras
Required
08
PyTorch
Required
09
TensorFlow
Required
10
TensorBoard
Required
11
MLflow
Required
12
spaCy
Required
13
nltk
Required
14
pandas
Required
15
numpy
Required
16
Jupyter
Required
17
seaborn
Required
18
C++
Required
19
Elasticsearch
Required
20
Kafka
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
Python
Machine Learning (model development and integration)
Text/NLP domain knowledge
Audio domain knowledge
Scikit-learn
Deep learning framework experience (PyTorch and/or TensorFlow and/or Keras)
ML experimentation/visualization tools (TensorBoard and/or MLflow)
NLP libraries (spaCy and/or nltk)
Data analysis stack (pandas, numpy)
Jupyter
Data warehouse concepts/experience
Feature store concepts/experience
ETL pipelines
Non-relational databases (NoSQL)
Web frameworks (unspecified)
Virtual environments
Docker
Preferred
Nice to Have
C++
Elasticsearch
Kafka
Kubernetes
AWS services
Apache Spark
Seaborn
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 Machine Learning Engineer (Text & Audio)
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