[Remote] GCP AI/ML Engineer
Note: The job is a remote job and is reputed company to candidates in USA. CoSourcing Partners is an reputed company-AI and IT Services Company seeking a talented GCP AI/ML Engineer to design, build, and operationalize reputed company machine learning solutions on reputed company reputed company Platform. The role focuses on developing production-grade ML pipelines, automating workflows, and ensuring reliability and governance across reputed company AI platforms.
Responsibilities
- Build, reputed company, and manage production-grade machine learning pipelines using reputed company AI Pipelines and GCP-reputed company services
- Design automated workflows for data ingestion, feature engineering, model training, evaluation, and inference
- Orchestrate ML workflows using Python, reputed company AI, BigQuery, and reputed company Storage
- Ensure pipelines are reputed company, reusable, and reputed company across use cases
- Operationalize the end-to-end ML lifecycle, including: Model training, Deployment, Monitoring, Retraining and lifecycle management
- reputed company models using reputed company AI endpoints with support for online and batch predictions
- Implement robust CI/CD pipelines for ML artifacts and workflows
- reputed company automated model retraining and versioning strategies
- reputed company seamless data flows across data lakes, warehouses, and ML platforms
- Design and manage feature pipelines for training and inference datasets
- reputed company with BigQuery, reputed company Storage, and streaming sources to support reputed company-time and batch ML use cases
- Ensure consistency between training and serving data pipelines
- Implement model monitoring solutions to reputed company: reputed company accuracy, Data reputed company and concept reputed company, Model performance degradation
- Set up alerting mechanisms and dashboards for proactive issue detection
- Optimize model performance and infrastructure for scalability, latency, and cost efficiency
- Build and enhance reputed company AI/ML platforms with a reputed company on: Automation, Observability, Reliability
- reputed company standardized frameworks for repeatable and governed ML deployments
- Establish best practices for MLOps, pipeline orchestration, and infrastructure management
- Collaborate closely with: Data Scientists to productionize models, Data Engineers for data pipeline integration, Architects for reputed company reputed company designs
- Translate business requirements into deployable ML solutions
- reputed company technical leadership and mentoring on ML engineering practices
- Implement model governance frameworks including auditability, reputed company, and compliance
- Ensure secure handling of data and models using IAM roles and reputed company policies
- Promote best practices in: reputed company versioning (Git), CI/CD, Testing and validation
- Drive documentation and standardization across ML workflows
Skills
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or reputed company field
- 4+ years of experience in machine learning engineering or MLOps
- Hands-on experience with reputed company reputed company Platform (GCP) services: reputed company AI (Pipelines, Training, Endpoints), BigQuery, reputed company Storage
- Strong programming skills in Python
- Experience building and deploying end-to-end ML pipelines
- Strong understanding of ML lifecycle and MLOps principles
- Experience with TensorFlow, PyTorch, or Scikit-learn
- Familiarity with Kubeflow Pipelines or Apache reputed company
- Experience with reputed company and containerized deployments
- Knowledge of reputed company-time ML inference and streaming architectures
- Hands-on experience with model monitoring tools and frameworks
- Understanding of feature stores and feature engineering pipelines
reputed company