Machine Learning Engineer - Product Marketing Customer Analytics
Machine Learning Engineer - Product Marketing Customer Analytics
Posted on :
02-08-2025
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1 Vacancy
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Monthly Salary
USD 212000 - 318400
Vacancy
1 Vacancy
Posted on :
02-08-2025
Job Description
Support Product Marketing Investor Relations and the Executive Team with predictive analytics for customer product and services product requirements then translate them into modeling tasks and engineering tasksDevelop scalable ML algorithms and models to understand customer behavior and provide leadership with actionable insights and recommendationsDesign and implement end-to-end machine learning pipelinesfrom feature engineering to model serving using best in class MLOps frameworksDevelop and optimize deep learning and traditional ML solutions on high-volume datasets using GPU clusters or distributed CPU environments. Experiment with cutting-edge algorithms providing advanced insights into customer behavior and engagement. Manage ML projects through all phases including data quality algorithm/feature development predictive modeling visualization and deployment and difficult non-routine analysis/prediction problems applying advanced ML methods as needed. Partner with peers to build and prototype analysis pipelines that provide insights at scale. Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models. Enhance and evolve solutions to meet changing business needs with agility.
- 8 years of hands-on programming skills for large-scale data processing
- Graduate degree required in Computer Science Statistics Data Mining Machine Learning Operations Research or related field
- Excellent understanding of analytical methods and machine learning algorithms including regression clustering classification optimization and other advanced analytic techniques.
- 8 years of proven experience building and scaling predictive models across distributed systems (eg: Spark Kubernetes GPU clusters) production model hosting and handling end-to-end performance optimization to solve business problems.
- 8 years of hands-on programming skills (Python and/or Spark) for large-scale data processing deriving key insights developing machine learning models on structured and unstructured data and with demonstrated success maintaining robust high-throughput ML pipelines in a production environment.
- Comfortable with advanced deep learning frameworks (Tensorflow PyTorch) and adept at designing and scaling ML platforms that include feature stores automated retraining pipelines and CI/CD integration. Able to design systems to handle high-volume ML workflows and implement scalable fault-tolerant solutions.
- Solid technical database and data modeling knowledge (Oracle Hadoop SnowFlake) and experience optimizing SQL queries on large dataset for performance-critical analytics.
- Able to work effectively on ambiguous data and constructs within a fast-changing environment tight deadlines and priority changes
- Strong communication skills and ability to explain complex technical topics to both data science peers and non-technical business stakeholders effectively presenting findings and recommendations to senior executives.
- Demonstrated success in partnering cross-functionally guiding diverse technical teams aligning business stakeholders invested in collective success of teams and project outcomes.
Employment Type
Full Time
Key Skills
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