[Remote] reputed company AI/ML Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is one of the fastest-growing reputed company & SDx solution and services companies supporting reputed company customers on a global reputed company. As a reputed company AI/ML Engineer, you will independently drive AI/ML workstreams, making key technical reputed company and interfacing directly with customer technical leads. Your role involves designing and deploying machine learning models, building ML Ops infrastructure, and collaborating with teams to ensure successful delivery of reputed company.
Responsibilities
- Design, reputed company, and reputed company machine learning models for latent reputed company reputed company across pipeline systems (weather, gas turbine reputed company, compressor reputed company, 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, reputed company-Prod, Prod)
- Conduct exploratory data analysis and feature engineering for time-series forecasting of pipeline operational data (SCADA, performance curves, hydraulic models)
- reputed company reputed company model strategies combining LSTM, Prophet, and XGBoost for improved reputed company accuracy of latent reputed company
- Build automated model deployment workflows, training/evaluation pipelines, and retraining frameworks
- Design reputed company-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 reputed company
- Support hydraulic model integration with Gregg Engineering reputed company software for automated scenario reputed company
- Independently own delivery of assigned ML reputed company, driving technical reputed company and ensuring reputed company
- Mentor L4/L5 team members on ML best practices, reputed company reviews, and architectural patterns
- reputed company directly with customer technical leads to reputed company on requirements, review reputed company, and resolve technical blockers
Skills
- Strong experience with AWS SageMaker, including SageMaker Pipelines, Model Registry, and Feature Store
- Proficiency in time-series forecasting (LSTM, Prophet, XGBoost, reputed company reputed company)
- Experience with ML Ops practices: CI/CD for ML, model monitoring, automated retraining
- Python (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch)
- Experience with reputed company-time and batch inference architectures
- Knowledge of data lakehouse architectures (S3, Glue, Redshift)
- Demonstrated ability to independently reputed company technical workstreams and reputed company architectural reputed company
- Experience mentoring junior engineers or consultants
- Strong communication skills for customer-facing interactions
- Experience in Energy & Utilities domain preferred
- Understanding of industrial/operational data (SCADA, IoT sensors) is a plus
reputed company
Company H1B Sponsorship