What are the responsibilities and job description for the Machine Learning Engineer position at Tiger Analytics?
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for a motivated and passionate Machine Learning Engineers for our team.
As part of this job, you will be responsible for:
- Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
- Creating Scalable Machine Learning systems that are highly performant
- Building reusable production data pipelines for implemented machine learning models
- Writing production-quality code and libraries that can be packaged as containers, installed and deployed
Essential Functions
machine learning workflows, integrating / deployment of code in a large-scale production
environments and reporting.
stored procedures.
files, data lakes and external APIs/websites.
query tools and/or statistical software.
Qualifications
Minimum Required
learning software development and reporting
various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support
Vector Machines, (Deep) Neural Networks, Random Forest, etc., and key parameters that affect
their performance.
packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc.
based on Cloud infrastructure and services such as Azure,GCP,AWS cloud platforms and Onpremise
environments
environments (such as Splunk, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker,
Kubernetes etc.)
strong baselines, and determining cause and effect relations.
measurements, development and evaluation data sets, etc. in data analysis projects.
Desired
engineering, mathematics, statistics) or equivalent domain specific experience in lieu of a
degree.
environments.
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.
