Temporary Dev/ML Ops Engineer
Job Description
Job Type: Contract
Contract length: 06 Months
Description:
- IT Systems Engineers are responsible for monitoring, installation, configuration, administration, troubleshooting and maintenance of technology solutions.
- IT Systems Engineers provide technical support, troubleshoot problem and perform scripting/programming to ensure stable and efficient operation of technology solutions.
Essential functions:
- Performs installation, monitoring, testing, configuration, migration, maintenance and troubleshooting of assigned technology
- Manages system/application environment and ongoing operations
- Ensures that the technologies are updated with current, stable, and compliant architecture and applications that meet enterprise standards
- Researches, designs, implements and tests technology solutions
- Proactively monitors and reports performance and utilization of assigned technologies
- Troubleshoots software and/or hardware issues/failures
- Resolves alerts and performs remediation activities
- Manages problem or escalated tickets and tasks and out of cycle requests from systems/software owners
- Collects and presents data for reporting and planning
- Assists with developing tactical strategies, processes and procedures related to systems/application administration
- Determines migration and upgrade impacts and diagnose/resolve complex technology/application errors
- Collaborates with IT and business area partners on work groups and initiatives
- Determines best course of action for meeting business needs
- May provide input into infrastructure architecture designs
- Writes programming/scripting
- May participate in Disaster Recovery planning and exercises
- Ensures execution and alignment to architectural standards and blueprints.
- May contribute input to infrastructure architecture
- Performs on-call activities as needed for the environment and technologies
Requirements:
- Extensive working knowledge of multiple technologies and their interfaces and integration
- Competent working in one or more environments highly integrated with an operating system.
- Extensive experience implementing and administering/managing technical solutions in major, large-scale system implementations
- High critical thinking skills to evaluate alternatives and present solutions that are consistent with business objectives and strategy.
- Ability to manage tasks independently and take ownership of responsibilities
- Ability to learn from mistakes and apply constructive feedback to improve performance
- Ability to communicate technical information clearly and articulately
- Ability to adapt to a rapidly changing environment
- Experience analyzing business requirements and translating them into technical solutions
- Experience using Agile methodology
REQUIRED EDUCATION/EXPERIENCE:
- 3-5 years of related work experience or equivalent combination of transferable experience demonstrating proficiency and experience in design, implementation, monitoring and troubleshooting
- Related Bachelor’s degree in an IT related field or relevant work experience in technology
- Requires experience with Data Science / Machine Learning Ops – 2 – 3 years+
- Requires experience in SQL (1+ years)
- Experience administering R and/or RStudio’s server products, preferably in an enterprise environment
- A working understanding of enterprise infrastructure, including Linux system administration, patching, authentication and virtualization
- Experience in R and/or Python programming, and knowledge of the respective ecosystems
- A desire for ongoing learning, keeping up-to-date with the latest cloud and data science technologies such as compute tools (Kubernetes, Spark), integration points.
- Ability to assist Data Scientists and experience with patching and supporting the applications, and be available when needed for assistance in troubleshooting code issues
- *LINUX OS and shell scripting experience is required
- *CI/CD pipeline experience required
- *Experience with GIT or Jenkins required
- *Programming knowledge of either Python or R is required
- *Working knowledge of RStudio or Jupyterhub HIGHLY PREFERRED
- *Prior work experience or academic background in Data Science HIGHLY PREFERRED
How to Apply
For immediate consideration, please send your resume directly to Lory Weir at lory@hornetstaffing.com. You can view all of our open positions at www.hornetstaffing.com131 total views, 0 today