Manager, Engineering – ML Ops & Frameworks
Job Description:
• Sets and facilitates processes for the delivery of scalable, high-quality software and services.
• Establishes plans and ensures team delivery toward milestones.
• Effectively collaborates with others in the organization to improve the team’s service offerings.
• Sets operational standards and owns performance against those standards; ensures standards are aligned with other teams in the division.
• Owns performance management, career development, and coaching of the team.
• Recruit's high-quality technical candidates to fill open headcount.
• Establishes and maintains a culture of respect, productivity, collaboration, and positivity.
Requirements:
• BS/MS Degree in Computer Engineering, Computer Science, or related field
• 2+ years' experience managing engineering teams
• 4+ years of experience building and maintaining workloads in public cloud environments
• Knowledge of different database architectures, including but not limited to relational and NoSQL databases, data warehousing and clustered, distributed data stores
• Implementation of workflow patterns using directed acyclic graphs (e. g., Apache Airflow, Temporal, AWS Step Functions)
• A commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code
• Practical experience with Python libraries for applied data science (Pandas, Plotly, Matplotlib, Dask, TensorFlow)
Benefits:
• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• AD+D and Life Insurance
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