Data Science Engineer - Generative AITalent Worx • Hyderabad
Data Science Engineer - Generative AI
Talent Worx • Hyderabad
14 days ago
Job description
Description :
Key Responsibilities :
Define the AI strategy and roadmap, including tooling selection, experimentation frameworks, and best practices for model development, prompt engineering, and fine-tuning.
Architect, develop, and deploy large-scale Machine Learning and Generative AI (GenAI) pipelines from ideation through production.
Lead end-to-end project ownership, from problem identification and data acquisition to model design, evaluation, and deployment.
Collaborate cross-functionally with engineering, product, and business teams to translate business goals into actionable data science initiatives.
Mentor and guide junior data scientists, fostering a culture of continuous learning, experimentation, and innovation.
Evaluate emerging AI technologies and frameworks to enhance organizational capabilities and technical maturity.
Essential Qualifications :
35 years of relevant experience in Data Science, Machine Learning, or Artificial Intelligence.
Hands-on experience with Large Language Models (LLMs) such as OpenAI GPT, Anthropic Claude, or LLaMA including prompt engineering, fine-tuning, and embedding-based retrieval systems.
Expert proficiency in Python and key libraries : NumPy, Pandas, scikit-learn, PyTorch / TensorFlow, and Hugging Face Transformers.
Proven track record of delivering at least one end-to-end GenAI or advanced NLP project (e.g., custom NER, Q&A systems, text summarization) into production.
Strong understanding of model deployment and orchestration tools such as Docker, Kubernetes, Airflow, and API frameworks (Flask, FastAPI).
Solid foundation in statistical modeling, data analysis, and MLOps best practices.
Preferred Qualifications :
Masters or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative discipline.
Experience working in cloud environments (AWS, Azure, or GCP) for scalable model training and deployment.
Familiarity with vector databases, retrieval-augmented generation (RAG), or multi-modal AI systems.
Strong communication skills with the ability to translate complex technical findings into actionable business insights
(ref : hirist.tech)
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