Foundation Models Data Scientist – Time-Series & Multimodal

Aquent; Houston (TX); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work schedule

Professional development opportunities

Job summary

A leading technology firm is looking for a skilled professional in Houston, TX for a hybrid role focused on foundation model development. You'll engage in shaping AI technologies and work collaboratively with a team that drives innovations from complex, real-world data across various sectors. The ideal candidate will have a MS or Ph.D. in a relevant field and at least 3 years of experience in data science and AI, complemented by strong skills in Python and deep learning frameworks.

Qualifications

• MS or Ph.D. in Computer Science, Data Science, or related field.
• Minimum of 3 years of relevant experience in data science and AI.
• Proficiency in Python and libraries like NumPy, SciPy, Pandas.
• Experience with deep learning frameworks like PyTorch and TensorFlow.
• Ability to build and deploy large-scale self-supervised models.

Responsibilities

• Architect, train, and deploy foundation models from diverse data.
• Fine-tune models for tasks such as anomaly detection and forecasting.
• Implement data processing techniques for sensor data streams.
• Design deep learning architectures for heterogeneous data types.
• Drive innovation using self-supervised and semi-supervised learning.

Skills

Python expertise

Deep learning frameworks (PyTorch, TensorFlow)

Data engineering

Model interpretation skills

Collaboration and communication

Education

MS or Ph.D. in Computer Science, Data Science, or related field

Tools

NumPy

SciPy

Pandas

PyTorch

TensorFlow

CUDA

Job description

A leading technology firm is looking for a skilled professional in Houston, TX for a hybrid role focused on foundation model development. You'll engage in shaping AI technologies and work collaboratively with a team that drives innovations from complex, real-world data across various sectors. The ideal candidate will have a MS or Ph.D. in a relevant field and at least 3 years of experience in data science and AI, complemented by strong skills in Python and deep learning frameworks.