Data Scientist: LLMs, NLP & AI Deployment

ImpetusIT; Boston (MA); On-site; USD 60,000 - 70,000; Full time

Job summary

ImpetusIT is seeking a Data Scientist for a pharma client in the Boston area. The role offers an annual salary in the $60k–$70k range and requires hands-on work with cutting-edge AI technologies, including large language models and NLP.

The ideal candidate will design, train, and deploy ML/DL models, collaborate with cross-functional teams, and contribute to real-world applications in a regulated pharma environment.

Qualifications

• Experience designing, training, and fine-tuning large language models.
• Strong background in ML/DL and NLP concepts.
• Hands-on experience with LLMs (GPT, Llama, PaLM or similar).

Responsibilities

• Design, train, and fine-tune Large Language Models (LLMs) for various applications.
• Deploy, monitor, and optimize AI models in cloud environments.
• Collaborate with cross-functional teams to integrate AI into real-world applications.
• Strong background in Machine Learning, Deep Learning, and NLP.
• Hands-on experience with LLMs (GPT, Llama, PaLM, or similar).
• Knowledge of transformer architectures, attention mechanisms, and reinforcement learning.
• Experience with fine-tuning and optimizing foundation models.
• Experience with AI model deployment and optimization techniques.

Skills

LLMs

Machine Learning

Deep Learning

NLP

Transformer architectures

Reinforcement learning

Model deployment

Job description

ImpetusIT is seeking a Data Scientist for a pharma client in the Boston area. The role offers an annual salary in the $60k–$70k range and requires hands-on work with cutting-edge AI technologies, including large language models and NLP.

The ideal candidate will design, train, and deploy ML/DL models, collaborate with cross-functional teams, and contribute to real-world applications in a regulated pharma environment.