[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