Senior Data Engineer

Insight Global; Bentonville (AR); On-site; USD 130,000 - 170,000; Full time

Job summary

Insight Global in Bentonville, AR seeks a machine learning expert to build scalable time series forecasting systems using TFT, N-BEATS, and PATCHTST for thousands of retail and e-commerce Series. You will apply deep learning, generative AI, and advanced regression concepts to deploy robust models.

You will train large-scale neural networks, optimize pipelines on cloud platforms, and collaborate with teams to align analytics with business decisions.

Qualifications

• Strong foundation in time series forecasting and deep learning.
• Experience with transformer-based models (TFT, LSTM, GPT variants).
• Proficient in Python, SQL and ML frameworks (PyTorch, TensorFlow/Keras).
• Experience training on GPU-based pipelines and large-scale experiments.

Responsibilities

• Develop scalable time series forecasting systems leveraging global models.
• Apply generative AI to synthesize data and improve training pipelines.
• Design and train large-scale neural networks for time series, anomaly detection, and causal inference.
• Build production-ready applications on cloud platforms and integrate with internal systems.
• Collaborate with cross-functional teams to translate objectives into deployable models.

Skills

Time series forecasting

Deep learning

Sequence modeling

Attention mechanisms

Generative AI

GPT variants

Experimentation at scale

Enterprise level experience

Model deployment

Causal inference

Tools

Python

SQL

PyTorch

TensorFlow/Keras

Scikit-learn

statsmodels

Job description

Job Description

Responsibilities

• Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST, enabling robust forecasting across thousands of retail and e-commerce time series.
• Foundational Knowledge on advanced regression.
• Apply generative AI to synthesize time series data, enhance model training pipelines, and build intelligent NLP-based assistants for analytics enablement.
• Design and train large-scale neural networks for time series, anomaly detection, and causal inference, with deployment via automated batch pipelines
• Build and maintain production-ready applications on cloud platforms, integrated with internal systems to deliver insights at scale.

Collaborate with cross-functional teams to define objectives, formulate hypotheses, and deploy models that directly influence decision-making.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• Strong foundation in time series forecasting, deep learning, and optimization theory, with a focus on sequence modeling and attention-based architectures.
• Experience in training and deploying transformer-based neural networks (e.g., TFT, LSTM, GPT variants) for real-world business applications.
• Proficient in Python, SQL, and hands-on with PyTorch, TensorFlow/Keras, Scikit-learn, and statsmodels.
• Demonstrated ability to work on GPU-based model training pipelines, and exposure to managing experimentation at scale.
• Enterprise level experience preferred
• Deep Learning
• Agentic
• Gen AI
• Language Models