Senior Data Scientist (GCP and ADK)

Shyena Tech Yarns Pvt. Ltd.; India; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Shyena Tech Yarns Pvt. Ltd. in India seeks a Senior Data Scientist with strong hands-on expertise in Python, ML/DL, LLMs, and Cloud/MLOps to design, develop, and deploy scalable AI/ML solutions for complex business problems across PAN India.

The role emphasizes end-to-end ML lifecycle, MLOps on Azure/AWS, and leadership to mentor Data Science/AI teams, with focus on Generative AI, NLP, CV, and RAG-enabled solutions. Strong communication and stakeholder management required.

Qualifications

• 8+ years of experience in Data Science/AI/ML or related field.
• Bachelor's or Master's degree in a relevant field.
• Strong problem-solving, communication, and mentoring skills.
• Experience with Agile and knowledge-sharing capabilities.

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 DS 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 mentoring to DS/AI teams.
• Collaborate with stakeholders to translate business needs into AI solutions.
• Evaluate emerging AI/ML tech and drive POCs.

Skills

Python

Machine Learning

Deep Learning

Data Science

LLMs

Cloud/MLOps

Computer Vision

NLP

Education

Bachelor's or Master's in CS/Engineering/DS/AI/Math/Statistics

Tools

Azure

AWS

Azure ML

S3/Blob

AKS

IAM

Monitoring

Job description

Sr. Data Scientist (GCP and ADK)

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

Madatory: GCP and ADK

• 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, S3/Blob, AKS, IAM, monitoring.
• Computer Vision: CNN, YOLO, image/video processing.

Qualifications

• 8 to 16 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.

Evaluation Weightage