Design, build, and scale production-ready machine learning systems. Collaborate with cross-functional teams to deliver intelligent solutions. Own the full ML lifecycle from data ingestion to deployment and monitoring.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Our client is seeking a Senior Machine Learning Engineer to design, build, and scale production-ready machine learning systems. This role is ideal for a hands-on engineer who can own the full ML lifecycle, from data ingestion and model development to deployment and monitoring in cloud environments. You will collaborate with cross-functional teams to deliver intelligent solutions that drive business impact. This is a fully remote position.
Senior Machine Learning Engineer’s Responsibilities And Duties
- Own end-to-end machine learning lifecycle including data preparation, modeling, deployment, and monitoring
- Design, build, and maintain scalable ML pipelines and production systems
- Deploy, optimize, and manage machine learning models in live environments
- Collaborate with data engineers, software engineers, and stakeholders to translate business needs into ML solutions
- Ensure model reliability, performance, and continuous improvement over time
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- At least 5 years of experience in machine learning engineering, software engineering, data engineering, or similar roles
- Strong programming skills in Python and proficiency in SQL
- Hands-on experience with AWS services for data and machine learning workloads ??
- Proven experience deploying and maintaining ML models in production environments
- Solid understanding of scalable system design and data pipelines
- Strong communication skills and collaborative mindset
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