Overview
Department
AI & ML - Ops
Job posted on
Mar 20, 2025
Employment type
Onroll
Some high level things you would own but not limited to
Design, develop, and deploy machine learning models to solve real-world business problems.
Develop production-quality machine learning pipelines and frameworks using Python and Java.
Collaborate with data scientists, engineers, and business teams to define data requirements, model specifications, and system architecture.
Preprocess and clean large datasets, perform feature engineering, and ensure data quality for ML applications.
Implement, optimize, and deploy algorithms, ensuring scalability and performance in production systems.
Work with cloud-based platforms (AWS, GCP, Azure) for deploying and scaling machine learning models.
Stay current with the latest machine learning research and trends, and propose innovative solutions and techniques.
Document processes, models, and code to ensure reproducibility, maintainability, and knowledge sharing.
What you would possess already
5-6 years of professional experience in software engineering, with at least 2-3 years of hands-on experience in machine learning and data science.
Proficiency in Python for machine learning, data analysis, and algorithm development.
Fair experience with Java, including the development of production-level applications and integration with ML models.
Familiarity with data preprocessing techniques, including feature extraction, cleaning, normalization, and transformation.
Strong experience with SQL and working with large datasets from databases and data lakes.
Proficiency in cloud platforms (AWS, GCP, or Azure) for deploying machine learning models and managing infrastructure.
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