Data Scientist (LLM)

Job Summary

We are seeking a Data Scientist specializing in Large Language Models (LLMs) to develop and optimize ML pipelines, work with recommendation systems, and apply advanced AI/ML methodologies. The ideal candidate will have experience in feature engineering, data modeling, and cloud-based ML deployments while working with large datasets.

Key Responsibilities

• Experience with Large Language Models (LLMs)
• Develop ML pipelines for data cleaning and processing structured and unstructured data.
• Train LLMs to recognize products based on descriptions.
• Implement RAG (Retrieval-Augmented Generation) for applications like recommendation engines, network science, and search.
• Technical Competencies

ML & AI Expertise

• Strong knowledge of ML methods, including:
• Recommendation Systems
• Supervised Learning & Feature Engineering
• Time Series & Forecasting Analysis
• Clustering Algorithms
• Experience with network science projects and large-scale ML models.
• Expertise in feature engineering and model optimization.
• Strong programming skills in Python, R, Scala, or similar languages.
• Proficiency with machine learning libraries such as scikit-learn and TensorFlow.
• Experience working with cloud-based AI/ML tools (preferably GCP).

Data & Analytics

• Hands-on experience in data pipeline development, deployment, and operation.
• Strong knowledge of large, distributed datasets for actionable insights.
• Experience with Google BigQuery or Google Looker for dashboard development.

Collaboration & Agile Workflows

• Excellent communication and interpersonal skills with the ability to translate data into insights.
• Familiarity with collaborative AI/ML workflows.
• Experience working in Scrum teams and Agile methodologies.
• Willingness to travel and work flexible hours when required.

Essential Skillset

• Expertise in NLP (Natural Language Processing) and image processing is a plus.
• Experience in network science and time-series forecasting.
• Proficiency in at least one programming language: Python, Go, C, or C++.
• Strong knowledge of AI/ML models, deep learning, and algorithms.
• Familiarity with at least one Deep Learning framework.

Desirable Skillset

• Self-sufficiency in researching and solving technical problems.
• Experience with Google Cloud Platform (GCP), Power BI, or Google Looker.
• Experience handling large-scale datasets and optimizing ML models.

Preferred Qualifications

• Master’s or PhD in Computer Science, AI, Data Science, or a related field.
• Experience in predictive modeling, data visualization, and structured/unstructured data analysis.
• Proficiency in data mining and complex data modeling techniques.

Why Join Us?

• Work on cutting-edge AI/ML models and LLM technologies.
• Join a highly collaborative and innovative team.
• Competitive compensation and benefits package.

Skills: data visualization,processing,ml,r,large language models (llms),models,clustering algorithms,cloud,artificial intelligence (ai),deep learning,recommendation systems,scikit-learn,supervised learning,machine learning (ml),natural language processing (nlp),network science,modeling,time series analysis,google,feature engineering,tensorflow,learning,data,scala,bigquery,python,google cloud platform (gcp),datasets,data modeling