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Posted 24 Feb 2026

Data Scientist

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Team
Cyient
Posted
24 Feb 2026

About the role

Data scientist

6-10 Years

Hyderabad

Ctc *3

JR-067360           Data scientist

•            Justification

•            Data Scientist

•            Justification

We are looking for a highly skilled Data Scientist with expertise in Python, AI/ML, NLP, Computer Vision, and GenAI to join our team. The ideal candidate will be responsible for building cutting-edge AI solutions, developing machine learning models, and working on real-world GenAI applications across multiple industries.

•            Job Profile

Data Scientist - Experienced.

•            Additional Job Profiles

•            Job Description Summary

Responsible for modeling complex business problems, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results.

•            Job Description

Machine Learning & AI Model Development:

o            Design, build, and deploy ML models for real-world applications.

o            Implement predictive analytics, deep learning, and statistical models to solve complex problems.

o            Optimize models for performance, scalability, and efficiency.

✅ Natural Language Processing (NLP) & GenAI:

o            Work on NLP-based AI solutions such as information extraction, text summarization, and conversational AI.

o            Develop LLM/SLM-powered AI pipelines for context-aware decision-making.

o            Enhance GenAI models with enterprise data integration and continuous learning.

✅ Computer Vision & Image Processing:

o            Implement AI-driven Computer Vision models for object detection, segmentation, and anomaly detection.

o            Develop OCR-based solutions to extract and analyze information from handwritten and structured documents.

✅ Data Engineering & Processing:

o            Handle large-scale structured and unstructured datasets from various sources.

o            Develop data pipelines, ETL processes, and feature engineering techniques.

✅ Enterprise Integration & AI Deployment:

o            Integrate AI models with enterprise platforms (SAP, PLM, RPA, etc.).

o            Ensure seamless deployment of AI-powered applications into production.

Key Skills & Qualifications

🎓 Technical Skills:

o            Strong programming skills in Python (Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Hugging Face).

o            Experience with AI/ML, NLP, Computer Vision, and GenAI.

o            Knowledge of LLMs, SLMs, RAG, and multi-agent AI orchestration.

o            Hands-on experience with cloud platforms (AWS, Azure, GCP).

o            Experience with MLOps tools, model monitoring, and performance optimization.

🤝 Soft Skills:

o            Team Player – Ability to work collaboratively in cross-functional teams.

o            Problem-Solver – Passion for solving complex AI-driven challenges.

o            Innovative Mindset – Willingness to explore new AI/ML techniques and push boundaries.

o            Strong Communication – Ability to present technical concepts to non-technical stakeholders.

o            Self-Starter – Proactive and result-oriented approach.

environments, and communicating results.

Data scientist

6-10 Years

Hyderabad

Ctc *3

JR-067360           Data scientist

•            Justification

•            Data Scientist

•            Justification

We are looking for a highly skilled Data Scientist with expertise in Python, AI/ML, NLP, Computer Vision, and GenAI to join our team. The ideal candidate will be responsible for building cutting-edge AI solutions, developing machine learning models, and working on real-world GenAI applications across multiple industries.

•            Job Profile

Data Scientist - Experienced.

•            Additional Job Profiles

•            Job Description Summary

Responsible for modeling complex business problems, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytics skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results.

•            Job Description

Machine Learning & AI Model Development:

o            Design, build, and deploy ML models for real-world applications.

o            Implement predictive analytics, deep learning, and statistical models to solve complex problems.

o            Optimize models for performance, scalability, and efficiency.

✅ Natural Language Processing (NLP) & GenAI:

o            Work on NLP-based AI solutions such as information extraction, text summarization, and conversational AI.

o            Develop LLM/SLM-powered AI pipelines for context-aware decision-making.

o            Enhance GenAI models with enterprise data integration and continuous learning.

✅ Computer Vision & Image Processing:

o            Implement AI-driven Computer Vision models for object detection, segmentation, and anomaly detection.

o            Develop OCR-based solutions to extract and analyze information from handwritten and structured documents.

✅ Data Engineering & Processing:

o            Handle large-scale structured and unstructured datasets from various sources.

o            Develop data pipelines, ETL processes, and feature engineering techniques.

✅ Enterprise Integration & AI Deployment:

o            Integrate AI models with enterprise platforms (SAP, PLM, RPA, etc.).

o            Ensure seamless deployment of AI-powered applications into production.

Key Skills & Qualifications

🎓 Technical Skills:

o            Strong programming skills in Python (Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Hugging Face).

o            Experience with AI/ML, NLP, Computer Vision, and GenAI.

o            Knowledge of LLMs, SLMs, RAG, and multi-agent AI orchestration.

o            Hands-on experience with cloud platforms (AWS, Azure, GCP).

o            Experience with MLOps tools, model monitoring, and performance optimization.

🤝 Soft Skills:

o            Team Player – Ability to work collaboratively in cross-functional teams.

o            Problem-Solver – Passion for solving complex AI-driven challenges.

o            Innovative Mindset – Willingness to explore new AI/ML techniques and push boundaries.

o            Strong Communication – Ability to present technical concepts to non-technical stakeholders.

o            Self-Starter – Proactive and result-oriented approach.

environments, and communicating results.

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