
Machine Learning Engineer
3 weeks ago
Join our team as a Machine Learning Engineer and build innovative solutions for our U.S. client. We're looking for someone with a strong background in machine learning who is ready to design, build, and deploy robust ML models in a production environment. Your expertise in AWS SageMaker will be key to creating scalable solutions that deliver real business value.
Responsibilities
- Design, develop, and deploy end-to-end machine learning pipelines on AWS SageMaker .
- Collaborate with data scientists to translate models and algorithms into production-ready code.
- Manage the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment.
- Implement MLOps best practices to automate workflows and ensure model performance and reliability.
- Optimize ML models for performance, scalability, and cost efficiency on the AWS platform.
- Monitor and troubleshoot deployed models to ensure they meet performance and business requirements.
- Stay current with the latest advancements in machine learning and cloud technologies.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in a machine learning or data science role.
- Hands-on experience with AWS services , specifically SageMaker .
- Proficiency in Python and standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with containerization technologies like Docker.
- Solid understanding of MLOps principles and tools for CI/CD.
- Knowledge of data engineering principles and experience with big data technologies (e.g., Spark, Hadoop).
- Strong problem-solving skills and the ability to work in a collaborative environment.
Preferred Qualifications
- Experience with other AWS services such as S3, Lambda, Glue, and Redshift .
- Certifications such as AWS Certified Machine Learning – Specialty .
- Experience with model serving frameworks (e.g., Flask, FastAPI).
- Experience with version control systems like Git.
- Familiarity with agile development methodologies.
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