Data Scientist - LLM
Data Scientist - LLM
arrise solutions (india) pvt. ltd.- Posted 14 hours ago
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Job Description
About the Role We are looking for a Data Scientist (LLM) to design, develop and implement advanced algorithms using image, text, audio and tabular data. In this role, you will build large-scale AI/ML systems end-to-end in a fast-paced environment and integrate them into existing data pipelines and systems. You will work closely with cross-functional data and engineering teams to solve complex problem statements and serve as a subject matter expert on data science topics. The ideal candidate has strong expertise in statistical analysis, Machine Learning, Deep Learning and Natural Language Processing (NLP), a passion for generative AI, and a proven record of deploying scalable models in real-world applications.
Key Responsibilities
• Design, develop and implement advanced algorithms using image, text, audio and tabular data.
• Design large-scale AI/ML systems end-to-end in a fast-paced environment.
• Integrate AI/ML systems into existing data pipelines and systems.
• Apply extensive knowledge of key metrics and terminology used in statistical analysis and machine learning.
• Collaborate with cross-functional data and engineering teams to develop solutions to complex problem statements.
• Act as a subject matter expert on data science topics, providing guidance and support to internal teams.
• Identify areas of improvement in existing solutions.
Requirements
• Proven track record of deploying scalable machine learning models in real-world applications.
• Strong proficiency in Python, with extensive experience in TensorFlow and PyTorch.
• Familiarity with key deep learning metrics and optimization techniques.
• Strong knowledge of version control systems, particularly Git.
• Bachelor's or Master's degree in Computer Science, Engineering or a related field.
• 4–10 years of relevant experience, including handling very large transactional datasets across different business functions.
• Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
• Self-starter and self-motivated, with the ability to work independently and with other teams.
• Outstanding verbal and written communication skills.
• Passion for staying updated with the latest advancements in AI, deep learning, generative AI and related system design areas.
• Ability to lead research initiatives to explore new methodologies, tools and technologies.
Key Responsibilities
• Design, develop and implement advanced algorithms using image, text, audio and tabular data.
• Design large-scale AI/ML systems end-to-end in a fast-paced environment.
• Integrate AI/ML systems into existing data pipelines and systems.
• Apply extensive knowledge of key metrics and terminology used in statistical analysis and machine learning.
• Collaborate with cross-functional data and engineering teams to develop solutions to complex problem statements.
• Act as a subject matter expert on data science topics, providing guidance and support to internal teams.
• Identify areas of improvement in existing solutions.
Requirements
Key Skills
• Strong experience in statistical analysis, Machine Learning and Deep Learning techniques, particularly in computer vision and Natural Language Processing (NLP).• Proven track record of deploying scalable machine learning models in real-world applications.
• Strong proficiency in Python, with extensive experience in TensorFlow and PyTorch.
• Familiarity with key deep learning metrics and optimization techniques.
• Strong knowledge of version control systems, particularly Git.
• Bachelor's or Master's degree in Computer Science, Engineering or a related field.
• 4–10 years of relevant experience, including handling very large transactional datasets across different business functions.
• Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
• Self-starter and self-motivated, with the ability to work independently and with other teams.
• Outstanding verbal and written communication skills.
• Passion for staying updated with the latest advancements in AI, deep learning, generative AI and related system design areas.
• Ability to lead research initiatives to explore new methodologies, tools and technologies.
