Posted:3 hours ago|
Platform:
On-site
Full Time
We are seeking a skilled Machine Learning Engineer to design, develop, and deploy scalable ML models that solve real-world business problems. The ideal candidate will work closely with data engineers, software engineers, and product teams to build production-ready ML solutions.
Design, develop, and deploy machine learning models for production use
Build end-to-end ML pipelines including data preprocessing, training, evaluation, and monitoring
Collaborate with data scientists to convert prototypes into scalable systems
Optimize model performance, scalability, and reliability
Implement model versioning, testing, and CI/CD for ML workflows
Monitor model performance and handle model drift
Work with large datasets and distributed systems
Document designs, models, and workflows clearly
Required Skills:
Solid understanding of machine learning algorithms and statistics
Experience with data processing tools (Pandas, NumPy, SQL)
Knowledge of REST APIs and integrating ML models into applications
Experience with version control systems (Git)
Preferred / Nice-to-Have Skills
Experience with cloud platforms (AWS, GCP, or Azure)
Knowledge of distributed computing (Spark, Ray)
Exposure to NLP, Computer Vision, or Recommendation Systems
Understanding of model monitoring and observability
Arcgate
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