Data Scientist | Experience: 6–8 Years | Location: Hyderabad | Onsite

Role: Data Scientist

Experience: 6–8 Years

Number of Positions: 5

Joining Timeline: Immediate to 15 Days

Location: Hyderabad

Interview Process:

• 1 AI Interview
• 1 Preparation Call
• Saturday F2F Interview (Scheduled on 16-05-2026)

Job Summary

We are seeking experienced Data Scientists (6–8 years) with strong expertise in Machine Learning, Deep Learning, NLP, and Large Language Models (LLMs).

The ideal candidate should have hands-on experience in building production-grade AI/ML solutions, working with Vector Databases, and deploying models on Cloud-based ML platforms.

The role requires strong analytical skills, problem-solving ability, and experience in developing scalable AI systems for real-world applications.

Key Responsibilities

• Design, develop, and deploy machine learning and deep learning models
• Work on NLP solutions including text classification, summarization, embeddings, and retrieval systems
• Build and optimize LLM-based applications
• Implement RAG (Retrieval-Augmented Generation) pipelines
• Work with Vector Databases such as Chroma and FAISS
• Develop scalable AI solutions on Cloud platforms
• Perform data preprocessing, feature engineering, and model evaluation
• Optimize model performance and ensure production readiness
• Collaborate with engineering teams for deployment and integration
• Monitor model performance and retraining strategies

Required Skills

Core AI/ML

• Machine Learning Algorithms
• Deep Learning (Neural Networks, Transformers)
• NLP (Natural Language Processing)
• Large Language Models (LLMs)
• Model Training & Evaluation
• Feature Engineering

Vector Databases

• Chroma
• FAISS

Cloud & Deployment

• Cloud-based ML solutions (AWS / Azure / GCP preferred)
• Model deployment and MLOps basics

Programming

• Python (Strong hands-on experience preferred)
• Libraries such as:
• TensorFlow / PyTorch
• Scikit-learn
• Pandas / NumPy

Preferred Experience

• Experience building AI-powered applications
• Experience with RAG architecture
• Experience in production AI systems
• Exposure to MLOps pipelines
• Experience working in Agile environments

Educational Qualification

• B.Tech / M.Tech / MCA / MSc in Computer Science, Data Science, or related field

Ideal Candidate Profile

The ideal candidate should:

• Have strong hands-on experience in AI/ML projects
• Be comfortable working on end-to-end model development
• Have experience with LLM-based solutions
• Be capable of handling production-scale data systems
• Possess strong communication and analytical skills
• Be available for immediate joining