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Machine Learning Engineer
2 months ago
Tiger Analytics is a leading advanced analytics consulting firm, trusted by several Fortune 100 companies to unlock business value from data. Our team of experts brings deep expertise in Data Science, Machine Learning, and AI, recognized by market research firms such as Forrester and Gartner.
Job SummaryWe are seeking a motivated and passionate Machine Learning Engineer to join our team. As a key member of our team, you will be responsible for designing and implementing scalable Machine Learning systems, building reusable production data pipelines, and ensuring the smooth deployment and execution of data science solutions.
Key Responsibilities- Design and implement scalable Machine Learning systems that meet high performance standards
- Build reusable production data pipelines for implemented machine learning models
- Develop production-quality code and libraries that can be packaged as containers, installed, and deployed
- Collaborate with Data Engineers and Data Scientists to build data and model pipelines and run machine learning tests and experiments
- Bachelor's degree or higher in Computer Science or related field, with 5+ years of work experience
- Ability to manage infrastructure and data pipelines needed to bring ML solutions to production
- End-to-end understanding of applications being created and maintain scalable machine learning solutions in production
- Ability to abstract complexity of production for machine learning using containers
- Ability to troubleshoot production machine learning model issues, including recommendations for retrain, revalidate, and improvements
- Experience with Big Data Projects using multiple types of structured and unstructured data
- Ability to work with a global team, playing a key role in communicating problem context to remote teams
- Excellent communication and teamwork skills
- Proficiency in Python, Spark, Hadoop, Docker, with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design
- Test-driven development (prefer py.test/nose), experience with Cloud environments
- Proficiency in statistical tools, relational databases, and expertise in programming languages like Python/SQL
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
