Senior Data Scientist

Staffington Global

7 years

0 Lacs

Hyderabad Telangana India

Posted:1 day ago| Platform:

Apply

Skills Required

data design summarization ai retrieval support leadership ml development certifications statistics mathematics learning engineering

Work Mode

On-site

Job Type

Full Time

Job Description

Responsibilities:

Design, implement, and optimize LLM pipelines for NLP tasks such as summarization, classification, and entity recognition.
Build and deploy AI models to production with scalable, testable code.
Develop and fine-tune models using domain-specific datasets, integrating them into live systems.
Create retrieval-augmented systems using vector stores and embeddings for contextual Q&A.
Support ASR-based NLP systems with diarization, tagging, and post-processing.
Work closely with senior leadership to ensure technical alignment with product goals.
Contribute to AI/ML best practices and help standardize development workflows across teams.

Qualifications (Education/Certifications)

Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field
4–7+ years hands-on experience in data science or machine learning roles
Proven track record delivering ML/AI products or analyses that influence business decisions
Experience working cross-functionally (e.g., with product, engineering, or business teams)

More Jobs at Staffington Global

Assistant manager - Investment perfomance analyst

Hyderabad, Telangana, India

5.0 - 8.0 yrs

Salary: Not disclosed

Dotnet Fullstack

Hyderabad, Telangana, India

3.0 - 5.0 yrs

Salary: Not disclosed

Software engineer

hyderabad, telangana

5.0 - 9.0 yrs

Salary: Not disclosed

Investment performance analyst

hyderabad, telangana

2.0 - 8.0 yrs

Salary: Not disclosed

Area Manager

Chennai, Tamil Nadu, India

4.0 - 7.0 yrs

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Job-Specific Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.