Machine Learning Engineer

ALLSTARSIT is an international outstaffing service provider that helps businesses recruit, pay, insure, and support top global talent with payroll, benefits, and more.

We’re looking for a Data and Machine Learning engineer for tasks centered around scalable data pipelines and model management using Ray.

Scope summary:

Data Processing: Load, clean, and validate text data; monitor quality metrics.

Embedding and Classification Models: Deploy and run models on Ray with batch inference, resource monitoring, and versioned model management.

Pipeline Orchestration: Build and serve end-to-end ML pipelines using Ray Serve, with task/resource monitoring and modular job structure.

Job Requirements:

• Strong programming skills in Python
• Hands-on experience with Ray (Ray Core, Ray Serve, Ray Train, etc.)
• Experience designing and orchestrating modular ML pipelines (preprocessing → embedding → training → inference)
• Proficiency in data preprocessing: text cleaning, validation, and monitoring
• Experience deploying and managing embedding models (e.g., using HuggingFace, Sentence Transformers)
• Familiarity with batch inference, throughput optimization, and resource-aware execution (GPU/CPU)
• Strong understanding of model versioning and use of model registries
• Experience with monitoring tools: logging metrics like throughput, latency, resource usage
• Working knowledge of REST/gRPC APIs and building model-serving endpoints
• Knowledge of Docker and Kubernetes – advantage
• Experience with distributed systems and parallel processing
• Comfortable with debugging and handling performance issues in large-scale pipelines
• Familiarity with tools for data quality monitoring and dataset management

Nice to Have:

• Prior experience with training and tuning classifiers using Ray or similar tools
• Experience integrating Ray pipelines into production systems
• Open-source contributions, especially in the Ray ecosystem
• Exposure to ML Ops and DevOps practices (CI/CD for ML, resource scaling, cluster health monitoring)

Ready to join an innovative team and grow your career? Apply now!