Andiamo · 1 day ago
Data Scientist - Drilling - Global Energy Tech Company
Houston, TX
Full-time
Hybrid
Mid, Senior Level
3+ years expAndiamo is a globally recognized staffing and consulting firm specializing in placing top technology professionals. They are seeking a Senior Machine Learning Scientist to develop large scale foundation models for time series and sensor data, focusing on tasks such as anomaly detection and predictive maintenance in complex environments.
ConsultingHuman ResourcesInformation TechnologyStaffing Agency
Responsibilities
Develop large scale foundation models that learn transferable representations from sequential and sensor based data
Apply self supervised learning techniques to unlock value from unlabeled and weakly labeled datasets
Fine tune and adapt pretrained models for specialized downstream tasks across industrial and scientific domains
Design systems that combine time series, images, audio, text, and structured data into unified learning architectures
Collaborate with domain experts to ensure models align with real world constraints and objectives
Process and analyze univariate and multivariate time series from domains such as industrial systems, IoT, finance, healthcare, or scientific instrumentation
Perform data augmentation, feature extraction, resampling, and noise handling for real world sensor streams
Work with diverse sensor modalities including vibration, temperature, accelerometers, audio, imagery, and more
Handle synchronization challenges, variable sampling rates, and imperfect data collected in operational environments
Build models using sequence focused architectures such as recurrent networks, temporal convolutional networks, and transformer based systems
Apply contrastive learning, masked prediction, temporal forecasting objectives, and multimodal alignment techniques
Leverage transfer learning, adapter based methods, and few shot strategies for efficient adaptation
Evaluate models using both technical metrics and end user or business driven performance indicators
Develop high performance pipelines in Python using scientific and data libraries
Optimize components with C++ or CUDA when needed for large scale preprocessing or training
Train models using modern deep learning frameworks such as PyTorch, TensorFlow, or JAX
Scale training across multiple GPUs and nodes using distributed and mixed precision techniques
Build reliable data pipelines for ingesting, cleaning, segmenting, and aligning massive sensor datasets
Strong grounding in linear algebra, probability, statistics, and optimization
Experience with signal processing methods such as Fourier analysis, wavelets, filtering, and time frequency techniques
Familiarity with numerical methods for modeling dynamic systems and solving inverse problems
Work closely with engineers, researchers, product leaders, and end users from technical and non technical backgrounds
Clearly explain model behavior, uncertainty, and tradeoffs to diverse audiences
Contribute to documentation, design discussions, and technical decision making
Qualification
Required
MS or PhD in Computer Science, Artificial Intelligence, Data Science, or a closely related field
Three or more years of hands on experience in machine learning, data science, or applied AI
Company
Andiamo
The Talent Partners for the AI Revolution.
201-500 employees
H1B Sponsorship
Andiamo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (2)
2021 (1)
Funding
Current Stage
Growth StageLeadership Team
Patrick McAdams
CEO & Co-Founder
Steven Kottler
CFO
Company data provided by crunchbase