Data Scientist - LLM

Arrise Solutions (India) Pvt. Ltd.; Dadri; Sur place; INR 2 000 000 - 3 500 000; Plein temps

Résumé du poste

Arrise Solutions (India) Pvt. Ltd. is seeking a Data Scientist (LLM) to design, develop and implement advanced algorithms using image, text, audio and tabular data. You will build large-scale AI/ML systems end-to-end and integrate them into existing data pipelines and systems.

The role requires strong expertise in statistics, ML, DL and NLP, with a passion for generative AI and a proven record of deploying scalable models in real-world applications.

Qualifications

• Extensive experience in ML/DL, CV and NLP.
• Proven track record deploying scalable ML models.
• Strong Python skills with ML frameworks.
• Familiarity with deep learning metrics and optimization.
• Experience handling large datasets across functions.
• Excellent communication and collaboration abilities.

Responsabilités

• 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.

Connaissances

Statistical analysis

Machine Learning

Deep Learning

Computer Vision

Natural Language Processing (NLP)

Deploying scalable ML models

Python

TensorFlow

PyTorch

Version control (Git)

Communication skills

Independent & collaborative work

Research leadership

Formation

Bachelor’s or Master’s degree in Computer Science, Engineering or a related field

Outils

Git

TensorFlow

PyTorch

Description du poste

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.

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.