AI Engineer
SRI-D, Plot 2A ,Sec-126 Noida-201303, India
Samsung Electronics
Tervetuloa Samsung Suomen verkkosivuille. Tarjoamme laajan valikoiman innovatiivista kodinelektroniikkaa ja tekniikkaa. Tutustu älypuhelimiin, tabletteihin, televisioihin, kodinkoneisiin ja muihin tuotteisiimme.Position Summary
AI/ML Engineer- We are seeking an experienced AI/ML engineer to develop and implement innovative AI solutions, design and optimize models, and collaborate with cross-functional teams to drive business growth. The ideal candidate should have strong expertise in Python, TensorFlow, PyTorch, and deep understanding of machine learning algorithms.
Role and Responsibilities
Roles & Responsibilities:
- Design & development of Large Language Models
- LLM Model deployment
- analyze the large datasets to identify patterns and trends, and use this information to inform model development and optimization strategies.
- LLM Optimization: Optimize and fine-tune Large Language Models LLMs to meet specific domain requirements, ensuring high-quality outputs.
- Design, train, fine-tune, and optimize large language models for specific tasks.
- Efficiently implementing ML applications, using the State-of-the-art methods for all stages of the ML development pipeline, beginning from data cleaning, feature engineering, model training and evaluation
- Driving projects related to ML applications, beginning from requirement analysis, product understanding, stakeholder engagement, supervising development and efficient implementation
SWC Eligibility: Yes (Advance & above)
Skills and Qualifications
Skills Required:
- Expert in Design & development of Large Language Models
- Experience in LLM Model deployment
- Experience to analyze the large datasets to identify patterns and trends, and use this information to inform model development and optimization strategies.
- Strong foundation in machine learning concepts and techniques, including deep learning architectures, natural language processing, and text generation.
- Must have 4+ Year experience in NLP Domain
- Experience in designing deep learning architectures, as well as implementing in a real world setting.
- Experience in any Query Techniques (SQL / BigQuery etc).
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Tags: Architecture BigQuery Deep Learning Engineering Feature engineering LLMs Machine Learning ML models Model deployment Model training NLP Privacy Python PyTorch SQL TensorFlow
Perks/benefits: Career development
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