Machine Learning Systems Engineer
2 days ago
Job Title: Machine Learning Systems Engineer
Job Description:The role of the Machine Learning Systems Engineer is to design, develop and deploy scalable machine learning applications that meet business requirements. This involves collaborating with cross-functional teams to ensure seamless integration with existing systems.
- Key Responsibilities:
- Developing and implementing machine learning models using Python and relevant libraries.
- Designing and optimizing data pipelines for efficient data processing and feature extraction.
- Collaborating with feature teams to integrate sophisticated models into production environments.
- Automating data processing and extraction tasks.
- Working closely with sales teams to understand customer requirements and translate them into technical solutions.
- Requirements:
- 5+ years of experience in machine learning engineering with a focus on scalability and efficiency.
- Strong understanding of software development principles and Agile methodologies.
- Proficiency in Python programming and relevant libraries such as NumPy, Pandas, and Scikit-learn.
- Experience working with large datasets and distributed databases such as Snowflake and Oracle.
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
- Benefits:
- Opportunity to work with cutting-edge technologies and frameworks.
- Collaborative and dynamic work environment.
- Competitive salary and benefits package.
- Professional growth and development opportunities.
- Others:
- Good understanding of software development and Enterprise architecture patterns.
- Hands-on experience with open-source big data technologies.
- Ability to understand API specs, determine relevant API calls, and implement SQL-friendly data structures.
- Experience working with GIT, resolving conflicts, and working with branches.
- Understanding and exposure to file formats such as Apache AVRO and Parquet.
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