
Senior Data Scientist
3 days ago
As a seasoned Data Scientist, you will be at the forefront of developing and deploying cutting-edge machine learning models on AWS SageMaker. Your expertise in designing, building, and optimizing robust ML pipelines will be instrumental in driving business growth and innovation.
Responsibilities- Create end-to-end machine learning pipelines on AWS SageMaker to deliver scalable and cost-effective solutions.
- 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.
- 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 ability to work in a collaborative environment.
- 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.
This is an exciting opportunity to join our team and contribute to the development of innovative machine learning solutions. If you are passionate about data science and machine learning, we encourage you to apply.
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