Senior Data Scientist

Shyena Tech Yarns Pvt. Ltd.; India; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Shyena Tech Yarns Pvt. Ltd. invites a Senior Data Scientist to lead end‑to‑end ML/DL projects across the data lifecycle.

The role requires strong Python coding, ML/DL expertise, and cloud/MLOps experience on Azure/AWS. You will design, implement, and deploy scalable AI solutions, mentor teams, and partner with stakeholders to solve complex business problems. Ideal candidates have 8+ years in Data Science/AI, with proficiency in NLP, GenAI, LLMs, and computer vision.

Qualifications

• 8+ years of experience in Data Science/AI/ML roles.
• Strong hands‑on experience with Python and ML/DL.
• Experience in designing and deploying production AI/ML solutions.
• Familiarity with LLMs, GenAI, NLP, CV, and MLOps on cloud platforms.

Responsibilities

• Lead end-to-end development and deployment of ML/DL solutions.
• Design models using ML, DL, NLP, CV, optimization, and LLMs.
• Manage the complete Data Science lifecycle: data prep, EDA, feature engineering, modeling, validation, monitoring.
• Develop production-grade AI/ML solutions using MLOps on Azure/AWS.
• Build solutions using LLMs, RAG, NLP, and Generative AI.
• Provide technical leadership and mentor Data Science/AI teams.
• Collaborate with stakeholders to translate business requirements into AI solutions.
• Evaluate emerging AI/ML and GenAI technologies and drive POCs.

Skills

Python

Machine Learning

Deep Learning

NLP

LLMs

GenAI

Cloud/MLOps

Data Science

EDA

Computer Vision

Education

Bachelor's/Master's in CS/Engineering/Data Science/AI/Math/Stats

Tools

Azure

AWS

SageMaker

Azure ML

S3/Blob

AKS

Job description

Senior Data Scientist

Experience: 8+ Years

Location: PAN India - Hyderabad, Bangalore, Pune, Chennai, Kolkata, etc

Preferred: Candidates willing to relocate

Not Preferred: 90 days Notice period, less than 8 years experience
Employment Type: Full-Time
Coding: Mandatory

About the Role

We are looking for a Senior Data Scientist with strong hands‑on experience in Python, Machine Learning, Deep Learning, Data Science, LLMs, and Cloud/MLOps to design, develop, and deploy scalable AI/ML solutions for complex business problems.

Key Responsibilities

• Lead end-to-end development and deployment of ML/DL solutions.
• Design models using Machine Learning, Deep Learning, NLP, Computer Vision, Optimization, and LLMs.
• Manage the complete Data Science lifecycle: data preparation, EDA, feature engineering, modeling, validation, and monitoring.
• Develop production‑grade AI/ML solutions using MLOps on Azure/AWS.
• Build solutions using LLMs, RAG, NLP, and Generative AI.
• Provide technical leadership and mentor Data Science/AI teams.
• Collaborate with stakeholders to translate business requirements into AI solutions.
• Evaluate emerging AI/ML and GenAI technologies and drive POCs.

Required Skills

• Python: Strong programming, statistical analysis, and ML/DL implementation.
• Machine Learning: Classification, regression, clustering, decision trees, SVM, ensemble methods.
• Deep Learning: Neural Networks, CNN, RNN/LSTM, image/video analytics.
• Data Science: EDA, data cleansing, feature engineering, model validation, statistical analysis.
• Optimization: Genetic Algorithms, Linear/Quadratic Programming.
• LLMs/GenAI: LLMs, NLP, Prompt Engineering, RAG, embeddings/vector search.
• Cloud/MLOps: Azure/AWS, Azure ML, SageMaker, S3/Blob, AKS, IAM, monitoring.
• Computer Vision: CNN, YOLO, image/video processing.

Qualifications

• 816 years of relevant experience in Data Science, AI/ML, or related fields.
• Bachelor's/Master's degree in Computer Science, Engineering, Data Science, AI, Mathematics, Statistics, or related field.
• Strong problem-solving, communication, stakeholder management, and mentoring skills.
• Agile experience and strong documentation/knowledge-sharing capabilities.

Preferred Domain: Oil & Gas, Manufacturing, Pharma, Finance/BFSI.