What are the responsibilities and job description for the Machine Learning position at Bi Labs?
Job Details
Machine Learning
San Francisco, CA
3 Days Onsite a week
12 Months Contract
Experience working in laboratories or with life sciences clients.
- Familiarity with lab instrumentation and common lab data formats (xml, json).
- Experience with databases (Postgres, SQLite) and networked storage systems (SMB, NFS).
- Experience deploying solutions on cloud platforms such as AWS SNS, SQS, S3, EC2, VPC.
- Adept and diligent working with ticketing systems such as Jira, ServiceNow, and GitHub/GitLab Issues.
- Advanced in Python and Go.
- Demonstrated experience in developing and deploying solutions in a production environment.
- Experience with version control systems (git), CI/CD pipelines (GitHub/GitLab), and Configuration-as-Code tools (Terraform, Ansible).
- Experience working with cloud-based data management tools, such as AWS Glue.
- Strong security mindset with knowledge in authentication, encryption, least privilege, and defense in depth. Preferred Skills:
- Ability to expedite processes in a complex and dynamic environment.
- Strong interpersonal skills to maintain good relationships with customers/clients.
- Agile and adaptable to iteratively deliver solutions in response to changing business needs.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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