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Job ID 2122404
Job Description
Join the dynamic team at Tiger Analytics, a rapidly expanding advanced analytics consulting firm, as we seek seasoned Machine Learning Engineers. Our collective expertise spans Machine Learning, Data Science, and AI, making us a trusted analytics partner for numerous Fortune 500 companies. Recognized by leading market research firms such as Forrester and Gartner, we pride ourselves on helping organizations unlock substantial business value from their data.
As we aim to cultivate the world’s finest global analytics consulting team, we invite exceptional talent to be part of this journey. In this role, you will take on key responsibilities, including:
- Delivering robust solutions for the deployment, execution, validation, monitoring, and enhancement of data science applications.
- Designing scalable Machine Learning systems that optimize performance and efficiency.
- Creating reusable production data pipelines for the machine learning models you implement.
- Developing high-quality, production-ready code and libraries that can be packaged as containers for seamless installation and deployment.
Your work will involve close collaboration with cross-functional teams and business partners, offering a unique chance to influence current and future strategies by utilizing your analytical skills, ensuring effective communication of business value and results.
What We’re Looking For
- A Bachelor’s degree or higher in Computer Science or a related field, complemented by over 5 years of relevant professional experience.
- Your collaboration skills will shine as you team up with Data Engineers and Data Scientists to create data and model pipelines while conducting machine learning tests and experiments.
- Proven ability to manage the infrastructure and data pipelines that are essential for deploying ML solutions into production.
- A strong grasp of the end-to-end applications being developed.
- Expertise in maintaining scalable machine learning solutions in a production environment.
- The capability to simplify the complexities of machine learning production using container technology.
- Experience troubleshooting production machine learning model issues, along with insights on retraining and revalidating models.
- Hands-on experience with Big Data projects that involve processing various structured and unstructured datasets.
- A knack for effective communication within a global team, providing critical context to remote team members.
- Outstanding communication and collaborative skills.
Desirable Skills
- Proficiency in Python, Spark, Hadoop, and Docker, while emphasizing effective coding standards within a continuous integration framework, including model evaluation and experimental design.
- Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, and Keras.
- Understanding of MLflow, Airflow, and Kubernetes.
- Experience in cloud environments and familiarity with offerings like AWS SageMaker.
- Strong statistical tool proficiency, relational database knowledge, and expertise in programming languages like Python and SQL.
The Perks
This position offers an incredible opportunity for substantial career growth within a fast-paced, entrepreneurial environment, providing a high level of individual responsibility. We look forward to welcoming you to our team!