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Senior ML Engineer
Posted 22 days agoViewed
💎 Seniority level: Senior, 4+ years
💸 Salary: 175000.0 - 210000.0 USD per year
🔍 Industry: Software Development
🏢 Company: Fluxx👥 51-100💰 $29,151,376 almost 4 years agoBig DataSaaSEnterprise ApplicationsInformation TechnologyEnterprise SoftwareSoftware
🗣️ Languages: English
⏳ Experience: 4+ years
Requirements:
- 4+ years of experience as a Data Architect or in a similar role
- 3+ years of database design and semantic layer development
- 4+ years in analytics engineering, data science, data infrastructure, data pipelines, and data warehousing
- Strong experience in assessing and implementing different models, including multimodal
- Strong background in AWS technologies
- Experience with modern data and BI tools
- Strong background in software engineering with proficiency in Python
- Experience building and maintaining data ingestion pipelines (i.e. ETL) and machine learning pipelines
- Proven track record implementing tech stack tooling and driving best practices, including self-service analytics tools
- Experience with data visualization tools (e.g., Power BI, Tableau, etc.)
- Strong proficiency in SQL and T-SQL
- Familiarity with scrum/agile development methodologies and DevOps tools, including Git
- Experience with Ruby on Rails platforms is a big plus
Responsibilities:
- Drive technical strategy and architecture for data platforms, infrastructure, and tooling
- Design robust and enterprise level data models
- Manage technical debt, data architecture and system scalability
- Ensure successful delivery of technical initiatives on time and with high quality
- A team player working closely with other engineers to deliver on our AI roadmap
- Design and execute technical roadmaps that balance quick wins with long-term scalability
- Establish metrics and KPIs to measure effectiveness of data and AI initiatives
- Ensure data security, compliance, and privacy standards are maintained
- Implement processes for monitoring, alerting, and incident management
- Design and implement self-service tools to enable teams to conduct complex data analysis and develop actionable insights
- Work cross functionally with engineers, QA and product managers
- Provide thought leadership in the continuous improvement of our data architecture, AI features, system, tests, and data quality indicators
- Produce high-quality software that is fully tested, code reviewed, and secure
- Stay on top of technology trends in the industry that might be used to resolve complex business problems
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