DS Consultant Data Mgmt & Applied AI

Rarr Technologies

7 - 12 years

15 - 19 Lacs

bengaluru

Posted:None| Platform:

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Skills Required

training qa usage test scripts data science unit testing downstream python testing performance measurement

Work Mode

Work from Office

Job Type

Full Time

Job Description

Lead or support
data annotation projects
, focusing on imbalanced datasets and classification quality.
Design
data labeling workflows
that support prompt fine-tuning and intent detection improvements.
Support
data augmentation and synthesis
to expand training sets for underrepresented categories.
Perform
embedding generation
, vectorization, and feature extraction for downstream model use.
Apply dimensionality reduction and clustering to support cohort modeling and personalization efforts.
Contribute to tools and processes that generate reusable feature sets for prompt APIs and Copilot skills.
Fine-tune small/medium scale custom models using annotated datasets and embedding-based features.
Build
unit/offline test frameworks
for model behavior validation, especially around
intent detection
and
prompt understanding
.
Conduct prompt-level accuracy evaluations and maintain version-controlled test scripts.
Develop lightweight
custom models
tailored to specific use cases such as
Live Notes
,
Meeting Summarization
, and
Skill Invocation
.
Work with engineering teams to
flight models across controlled releases
, enabling A/B comparison and performance measurement.
Document findings, test protocols, and improvement paths across releases.

Required Experience

3+ years of experience in applied data science, ML/NLP workflows, or model operations.
Proven expertise in
Python
,
Pandas
,
scikit-learn
,
PyTorch/TensorFlow
, and embedding frameworks.
Hands-on experience with
data labeling platforms
, annotation QA, or prompt training pipelines.
Deep understanding of
feature engineering
for NLP or structured intent-based models.
Prior work in
unit testing models
,
offline evaluation
, or
custom model deployments
preferred.

Soft Expectations

Strong communication and documentation skills.
Ability to work independently with clear weekly deliverables.
Comfort in engaging with cross-functional teams including engineers, product managers, and peer data scientists.
Time zone alignment with Europe is preferred for coordination with the Prague team.

Ai, Chatbot, Integration, Nlp, Python, Pytorch, Tensor Flow

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