Key skills
AWSAzureCloudETLGoogle Cloud PlatformJavaScriptLinuxPythonScikit-LearnSQLTableauTypeScriptC#C++CAIMLComputer VisionGenerative AIAgenticscikit-learnBIPower BIData MiningGCPGoogle CloudPrototypingProduct ManagementCommunicationProblem Solving
About this role
Role Overview
- Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
- Interact with 3rd parties to evaluate integration feasibility and licensing of technologies and analytic components
- Design, prototyping, and implementation of new data-centric solutions
- Effectively communicate and collaborate with local teams, international teams, and 3rd parties
- Contribute to build versus buy decisions
- Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life
- Self-starter that can take minimal direction and deliver results
- Curious problem solver
Requirements
- BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
- 5+ years of experience in modern advanced analytical tools and programming languages, including Python with scikit-learn
- Proficiency with exploratory data analysis
- Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files
- Experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
- 5+ years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C++, or C#
- Comfortable in Windows and Linux environments
- Experience in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks
- Experience in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications
- Experience in building predictive and decision-making AI applications.
- Experience using cloud services from AWS, Azure, or GCP to develop solutions.
- Experience in computer vision and image/video analysis, including object detection, recognition, tracking, and identification
- Experience with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining
- Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies.
- Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences
- Continuous learning mindset
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- Google Cloud Platform
- JavaScript
- Linux
- Python
- Scikit-Learn
- SQL
- Tableau
- TypeScript