Machine Learning Engineer
Remote, US
Zylo
As the enterprise SaaS Management leader, Zylo helps customers control inventory all SaaS, optimize licenses and manage renewals.As the world leader in SaaS Management and Optimization, Zylo enables companies to organize, optimize, and orchestrate SaaS. Organizations large and small trust Zylo's enterprise-proven technology and unparalleled SaaS Management expertise to optimize more than 30 million SaaS licenses and $23 billion in SaaS spend. Zylo's patent-pending, AI-powered Discovery Engine provides continual, frictionless monitoring of SaaS spend, licenses, and usage to create the industry's most trusted SaaS system of record. Fueled by more data than any other provider, Zylo delivers insights that allow you to take action quickly to optimize growing SaaS portfolios.
Overview:
We are looking for a Machine Learning Engineer who will help bring Zylo’s discovery engine into the next phase of growth. The ideal candidate is comfortable with large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. This is a unique opportunity to help improve and support our data science infrastructure and work with a devoted group of people that are eager to empower the future of software.
What you will do:
- Design, develop, and deploy machine learning models and algorithms that remedy business problems and improve operations.
- Develop and maintain scalable, reliable, and efficient systems for data processing, feature engineering, and model training and evaluation.
- Design, develop and enhance the data pipelines.
- Work with engineering, and internal stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and examine data to drive optimization and improvement of product development and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Own the Zylo discovery model and the continued maintenance of it. The Discovery Model is a patent-pending collection of models and is a crucial piece of Zylo’s overall architecture.
- Use predictive modeling to increase and refine the customer experience in the Zylo product.
What you will have done:
- 5+ years of experience in Data Science/Machine Learning
- 2+ years of hands on data science experience in machine learning algorithms with aptitude to show successful outcomes
- 2+ years of hands on software engineering experience
- Experience as a data engineer, with a strong understanding of data architecture, data modeling and ETL processes
- Fluency in Python (numpy, pandas, scipy, etc)
Nice to have:
- Experience in building machine learning infrastructure on AWS, Google Cloud, or Azure.
- Knowledge in Scikit-learn, Tensorflow, and/or PyTorch
- Experience with big data technologies like Kubernetes, Spark, Bigtable, Hadoop, MapReduce, Postgres, MongoDB, Elastic Search, Cassandra, Spark, NoSQL, and SQL.
- Experience in developing and supporting large scale computational resources on cloud-based Linux infrastructure.
At Zylo, we’re committed to furthering diversity, equity and inclusion and living up to our value of Growing Stronger Together. We’ve worked with our hiring team to craft job descriptions that accurately reflect the nature of the role and minimum qualifications to be successful. If your experience meets the minimum requirements, we strongly encourage you to apply. And if you’re not quite there yet, please consider submitting your resume to our talent community - we’d love the opportunity to get to know you.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Bigtable Cassandra CX Data pipelines Engineering ETL Feature engineering GCP Google Cloud Hadoop Kubernetes Linux Machine Learning ML infrastructure ML models Model training MongoDB NoSQL NumPy Pandas Pipelines PostgreSQL Predictive modeling Python PyTorch Scikit-learn SciPy Spark SQL TensorFlow
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open AI Engineer jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open NLP-related jobs
- Open Data warehouse-related jobs
- Open LLMs-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs