We are seeking a talented Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) to design, build, and deploy scalable machine learning solutions. You will work closely with data scientists, software engineers, and product teams to transform data into production-ready ML systems that drive business impact.
Key Responsibilities
- Design, develop, and deploy machine learning models in production environments
- Build scalable ML pipelines using GCP services such as Google Cloud Vertex AI, BigQuery, Cloud Storage, and Cloud Functions
- Implement CI/CD pipelines for ML workflows (MLOps best practices)
- Optimize models for performance, scalability, and cost-efficiency in cloud environments
- Collaborate with data engineers to design robust data ingestion and transformation processes
- Monitor model performance and implement retraining strategies
- Ensure solutions follow security, governance, and compliance best practices
- Document architecture, workflows, and technical decisions
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
- 3+ years of experience in machine learning engineering or related role
- Strong programming skills in Python
- Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Hands-on experience with GCP services, especially Vertex AI and BigQuery
- Experience deploying models using Docker and Kubernetes
- Familiarity with data pipelines and orchestration tools (e.g., Airflow)
- Strong understanding of software engineering principles and version control (Git)
Preferred Qualifications
- Experience with distributed data processing (e.g., Spark)
- Knowledge of feature stores and model registries
- Experience with real-time inference systems
- Familiarity with REST APIs and microservices architecture
- GCP Professional Machine Learning Engineer certification
What We Offer
- Competitive salary and performance-based bonuses
- Flexible work environment (remote/hybrid options)
- Professional development and certification support
- Opportunity to work on high-impact, data-driven products
- Collaborative and innovative team culture
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