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Data Scientist
Actively Reviewing
Quest Global
Job Description
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.
Required Skills
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