Live opening · Posted 11 days ago

Data Scientist

Akshaya India · Hyderabad
Instahyre 3-7 yrs
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At a glance

The key details from the original listing.

Posted 11 days ago
CompanyAkshaya India
LocationHyderabad
Experience3-7 yrs
SourceInstahyre
Listed11 days ago

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About the role

Description supplied by the original job listing.

We are seeking a talented Lead/Senior Engineer AI/LLM Developer to join our team and drive the development of cutting-edge artificial intelligence solutions using large language models. In this role, you will design, build, and optimise LLM-based applications that solve complex business problems while maintaining high standards of performance, scalability, and reliability.
Responsibilities:
Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies.
Develop efficient solutions for LLM integration, fine-tuning, and deployment.
Optimise model performance, latency, and resource utilisation.
Build and maintain robust data pipelines for training and inference.
Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG).
Develop evaluation frameworks to measure AI system performance and output quality.
Collaborate with cross-functional teams to understand requirements and deliver solutions.
Mentor junior developers and share AI/LLM knowledge across the organisation.
Participate in code reviews and ensure adherence to best practices.
Requirement: s
5+ years of software development experience with at least 3 years focused on AI/ML technologies.
Strong experience working with transformer-based models and LLM APIs.
Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face).
Experience with vector databases and semantic search technologies.
Solid understanding of prompt engineering, RAG, and fine-tuning techniques.
Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment.
Strong problem-solving skills and attention to detail.
Experience with LLM optimisation techniques like quantisation and distillation.
Knowledge of AI evaluation metrics and benchmarking methodologies.
Understanding of multimodal AI systems (text, image, audio)
Experience with containerization and orchestration tools (Docker, Kubernetes).
Contributions to open-source AI projects or research publications.
Familiarity with AI ethics and responsible AI development
Bachelor's degree in computer science, AI, Machine Learning, or related field.
Master's in AI, B, Tech, MCA, or related field.

Experience
3-7 yrs

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