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Ensemble Interface Analyst Jobs (NOW HIRING)

Effectuer des veilles pedagogiques et analyser leur faisabilite par rapport aux contextes ... des interfaces utilisateur et les modeliser dans des storyboards. * Realiser l'ensemble de ...

Effectuer des veilles pédagogiques et analyser leur faisabilité par rapport aux contextes ... interfaces utilisateur et les modéliser dans des storyboards. * Réaliser l'ensemble de ...

Integration Engineer

Manhattan, NY · On-site

$114K - $154K/yr

Build and support interfaces using HL7 v2, HIE, XML, JSON, and batch file processing * Develop and ... Analyze integration requirements and produce clear technical specifications and documentation

Integration Engineer

Manhattan, NY · On-site

$114K - $154K/yr

Build and support interfaces using HL7 v2, HIE, XML, JSON, and batch file processing * Develop and ... Analyze integration requirements and produce clear technical specifications and documentation

... analyze video data. 3. An understanding of the computational trade offs needed for real-time ... ensemble of multiple models, etc.). 6. An understanding of how different ML pipeline pieces work ...

Apply knowledge of analytics, big data analytics, automation techniques, business requirements, and ... and model ensembles, deploy models to production, continuously log and track deployed-model ...

ROBOTICIEN AUTOMATICIEN

Los Angeles, CA · On-site

$32.25 - $42.50/hr

Expleo vous aide à réaliser vos ambitions et à assurer, ensemble, votre avenir. Nous vous ... Responsabilités * Étudier et analyser les besoins en automatisation/robotisation. * Concevoir les ...

Expleo vous aide a realiser vos ambitions et a assurer, ensemble, votre avenir. Nous vous offrons ... Etudier et analyser les besoins en automatisation/robotisation. * Concevoir les architectures ...

We work at the interface of experimental structural biology (crystallography, cryo-EM), machine ... analysis from large datasets * Data standards work (mmCIF and related) * Macromolecular ensemble ...

Integration Engineer

New York, NY · On-site

$113K - $153K/yr

Build and support interfaces using HL7 v2, HIE, XML, JSON, and batch file processing * Develop and ... Analyze integration requirements and produce clear technical specifications and documentation

Integration Engineer

Manhattan, NY · On-site

$114K - $154K/yr

The Integration Engineer brings strong technical expertise in healthcare data standards, interface ... diverse data formats • Analyze integration requirements and produce clear technical ...

While initial ensemble formation and molecular programs after recall have been more extensively ... To address these questions, we work at the interface of systems neuroscience and molecular and ...

While initial ensemble formation and molecular programs after recall have been more extensively ... To address these questions, we work at the interface of systems neuroscience and molecular and ...

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Ensemble Interface Analyst information

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$50K

$72.8K

$121.5K

How much do ensemble interface analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for ensemble interface analyst in the United States is $72,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $78,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Ensemble Interface Analyst jobs?

For Ensemble Interface Analyst jobs, the most frequently searched job titles are:

Infographic showing various Ensemble Interface Analyst job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $72,772 per year, or $35 per hour.

Principal Consultant - AI/ML

Sugar Land, TX • On-site

Contractor

Re-posted 8 days ago


Job description

Role: Principal Consultant — AI/ML
Location - Houston, TX (Hybrid, Needs to be able to travel to Houston every other week)
 
 
Role Summary
As a Senior Consultant (L6), you are an experienced individual contributor who independently drives one or more AI/ML workstreams end-to-end. You own delivery outcomes for your assigned workstream, make key technical decisions, and interface directly with customer technical leads and stakeholders. You mentor L4 (Associate) and L5 (Staff) consultants on the team, providing technical guidance and reviewing their deliverables. You bring deep expertise in ML Ops and time-series forecasting to architect and implement scalable solutions on AWS.
 
Key Responsibilities
  • Design, develop, and deploy machine learning models for latent capacity prediction across pipeline systems (weather, gas turbine HP, compressor flow, line pack, equipment performance)
  • Build and maintain ML Ops infrastructure on AWS SageMaker including model registry, versioning, CI/CD pipelines, and multi-environment endpoints (Dev, Pre-Prod, Prod)
  • Conduct exploratory data analysis and feature engineering for time-series forecasting of pipeline operational data (SCADA, performance curves, hydraulic models)
  • Develop ensemble model strategies combining LSTM, Prophet, and XGBoost for improved prediction accuracy of latent capacity
  • Build automated model deployment workflows, training/evaluation pipelines, and retraining frameworks
  • Design real-time and batch inference architectures with API Gateway integration and model monitoring
  • Collaborate with data engineering team on feature stores and data pipeline integration from Bronze/Silver/Gold data lakehouse layers
  • Support hydraulic model integration with NextGen software for automated scenario generation
  • Independently own delivery of assigned ML workstream, driving technical decisions and ensuring quality
  • Mentor L4/L5 team members on ML best practices, code reviews, and architectural patterns
  • Interface directly with customer technical leads to align on requirements, review progress, and resolve technical blockers
 
Required Skills & Qualifications
  • Strong experience with AWS SageMaker, including SageMaker Pipelines, Model Registry, and Feature Store
  • Proficiency in time-series forecasting (LSTM, Prophet, XGBoost, ensemble methods)
  • Experience with ML Ops practices: CI/CD for ML, model monitoring, automated retraining
  • Python (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch)
  • Experience with real-time and batch inference architectures
  • Knowledge of data lakehouse architectures (S3, Glue, Redshift)
  • Understanding of industrial/operational data (SCADA, IoT sensors) is a plus
  • Experience in Energy & Utilities domain preferred
  • Demonstrated ability to independently lead technical workstreams and make architectural decisions
  • Experience mentoring junior engineers or consultants
  • Strong communication skills for customer-facing interactions