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Quest Global

Data Scientist

Actively Reviewing

Quest Global

Hyderabad Full-Time 2–4 yrs exp Posted 1 month ago  · Apply by Jul 18, 2026

Role: Data Scientist (AI/ML & Generative AI – AWS)

Experience: 3 Years

Location: Hyderabad

Work Type: Work from Office


Job Summary

We are seeking a highly skilled and motivated Data Scientist with strong expertise in Machine Learning, Generative AI, and AWS cloud technologies. The ideal candidate will design, build, and deploy scalable AI/ML solutions, leveraging modern tools such as LLMs, NLP, and cloud-native services to solve complex business problems.


Key Responsibilities

  • Develop, train, and deploy machine learning and deep learning models for various business use cases.
  • Design and implement Generative AI solutions using Large Language Models (LLMs).
  • Build and optimize NLP pipelines, including prompt engineering and text-based AI applications.
  • Work with AWS services such as SageMaker, Bedrock, Lambda, and S3 for model development, deployment, and scaling.
  • Design and maintain data pipelines and ensure seamless model integration into production systems.
  • Perform model evaluation, tuning, and optimization to improve performance and scalability.
  • Collaborate with cross-functional teams including Data Engineers, Product Managers, and Software Developers.
  • Document processes, models, and workflows for transparency and reproducibility.


Required Skills & Qualifications

  • Strong programming skills in Python and SQL.
  • Hands-on experience in Machine Learning and Deep Learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Practical experience with Generative AI, LLMs, and NLP techniques.
  • Expertise in Prompt Engineering and conversational AI systems.
  • Solid experience working with AWS cloud services (SageMaker, Bedrock, Lambda, S3).
  • Experience with model deployment, monitoring, and optimization in production environments.
  • Strong understanding of data structures, algorithms, and statistical analysis.


Nice to Have

  • Experience with LangChain, Retrieval-Augmented Generation (RAG), and Vector Databases.
  • Knowledge of MLOps practices and CI/CD pipelines.
  • Familiarity with Docker, Kubernetes, and containerized deployments.
  • AWS Certifications (e.g., AWS Certified Machine Learning – Specialty).


Preferred Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
  • 3+ years of experience in Data Science, AI/ML, or related roles.
  • Strong problem-solving skills and ability to work in a fast-paced environment.