GEN AI LLM Data Scientist

The Dignify Solutions, LLC

Raritan (NJ)

On-site

USD 150,000 - 170,000

Full time

14 days+

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Job summary

A leading IT services company is seeking a skilled Data Scientist with expertise in generative AI and NLP technologies. The ideal candidate will have over 12 years of experience and will design innovative solutions for complex AI challenges. Key responsibilities include developing generative models, collaborating with teams, and ensuring data integrity in production environments.

Qualifications

Must have 12+ years of experience in Data Science, Machine Learning.
Solid understanding of Transformer Encoder Networks and generative modeling techniques.
Experience with large-scale datasets and ensuring data quality.

Responsibilities

Design and implement generative models for various NLP tasks.
Collaborate with cross-functional teams to meet customer needs.
Evaluate and preprocess datasets, develop data pipelines.

Skills

Data Science

Machine Learning

Natural Language Processing

Generative Modeling

Deep Learning

Large Language Models

Job description

3 weeks ago Be among the first 25 applicants

Must have 12+ years of experience working in Data science, Machine learning and especially NLP technologies.
Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks.
Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence.
Utilize your extensive knowledge and expertise in machine learning (Client) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures.
Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.
Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
Must be able to design and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization.
Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.
Passionate to learn and stay updated with the latest advancements in generative AI and LLM.
Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops.
Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models.
Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.
Exposure to developing Guardrails for LLMs both with open source and cloud native models.
Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance.
Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team.

Seniority level