HYDERABAD · FULLTIME
Data Scientist

Techcarrot
Hyderabad · onsite · Posted 15d ago
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Section · 01
About this role
We are looking for a
highly skilled and passionate Data Scientist to design, build, and productionize enterprise-grade analytics and GenAI-powered solutions. This role will drive insights, recommendations, and decision-making across enterprise platforms, with a strong focus on scalability, reliability, and responsible AI.
Responsibilities
- Translate business problems into ML and data science solutions with measurable outcomes
- Build predictive, prescriptive, and descriptive models on large-scale structured and semi-structured data
- Apply
GenAI technique s (LLM-based summarization, classification, decision support)
- Design and implement
RAG solution s to ground LLM outputs in enterprise data
- Productionize models using
MLOps / LLMOp s practices (versioning, deployment, monitoring)
- Collaborate with business, product, and engineering teams to deliver actionable insights .🔧 What We’re Looking Fo
- Strong foundation in statistics, ML, and applied data science
- Proficiency in
Python, SQL, Spar k; hands-on with
Databricks ecosyste m
- Experience with ML frameworks
(PyTorch, TensorFlo w)
- Hands-on with
LangChain / LangGrap h for LLM workflows (RAG, prompt design, evaluation)
- Practical exposure to
MLOps / LLMOp s practices
- Understanding of data quality, explainability, and responsible AI . Qualificatio
- 8+ years in Data Science / AI Engineerin
- 6+ years building and deploying ML model
- 4+ years working with NLP system
- 2+ years delivering GenAI or conversational AI solutions in production. If you’re excited about shaping the future of enterprise analytics with GenAI, we’d love to hear from you. Apply now and be part of our journey!
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Section · 02
Skills
Section · Company
About Techcarrot

Techcarrot
IT Services & Consulting
51-200
employees
2016
10 years old
Dubai Production City, Dubai
United Arab Emirates (UAE)
₹20.9L PA avg
Avg at Techcarrot
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Employee ratings
10 reviews
Culture
3.4
Career growth
3.0
Work-life
3.4
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