Qualifications
Essential Qualifications:Bachelor's degree or higher in Computer Science or a related field, with at least 5 years of relevant work experience. Proven ability to collaborate effectively with Data Engineers and Data Scientists to construct data and model pipelines, and conduct machine learning tests and experiments. Experience in managing infrastructure and data pipelines to operationalize machine learning solutions. Comprehensive understanding of application development and maintaining scalable machine learning systems in production. Capability to streamline production complexities for machine learning utilizing containerization. Proficient in troubleshooting production machine learning model challenges, including making recommendations for retraining, revalidation, and enhancements. Experience with Big Data Projects involving various structured and unstructured data types. Able to work with a global team, clearly communicating problem contexts to remote colleagues. Strong communication and teamwork skills. Additional Skills:Proficiency in Python, Spark, Hadoop, and Docker, with a focus on good coding practices within a continuous integration environment, model evaluation, and experimental design. Experience with test-driven development (preferably py.test/nose) and familiarity with cloud environments. Strong command of statistical tools and relational databases, with expertise in programming languages such as Python and SQL. Preferred Qualifications:Familiarity with machine learning frameworks including Scikit-learn, TensorFlow, Keras, and others. Knowledge of MLflow, Airflow, and Kubernetes. Experience with cloud-native MLaaS offerings such as AWS SageMaker, AzureML, or Google AI platform.
About the job
Tiger Analytics is a leading analytics consulting firm that partners with several Fortune 100 companies, empowering them to derive significant business insights from their data. Our team consists of highly skilled consultants with extensive knowledge in Data Science, Machine Learning, and Artificial Intelligence. We have received recognition from renowned market research firms such as Forrester and Gartner for our innovative approaches and leadership in the analytics space.
We are seeking passionate and driven Machine Learning Engineers to join our dynamic team.
In this role, you will:
- Develop and implement solutions for deploying, executing, validating, monitoring, and enhancing data science initiatives.
- Design scalable and high-performance machine learning systems.
- Create reusable data pipelines for the seamless integration of machine learning models.
- Produce high-quality production code and libraries that can be containerized for deployment.
About Tiger Analytics
Tiger Analytics is recognized for its commitment to delivering actionable insights through advanced analytics and machine learning solutions. As a trusted partner to Fortune 100 companies, we leverage our expertise to help businesses unlock the potential of their data, ensuring competitive advantage and sustained growth.