Skip to main content
Tallo logoTallo logo

Data Scientist/MLOPS/Architect

Job

Infonex Technologies, Inc.

Pleasanton, CA (In Person)

Full-Time

Posted 1 week ago (Updated 6 days ago) • Actively hiring

Expires 6/21/2026

Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
76
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Position:
Sr Infrastructure/Data Science Architect-Open Position-CA Type:
contract to hire
Duration:
12+ months
Location:
Pleasanton, CA Required Qualifications Advanced degree in Computer Science, Data Engineering, Biomedical Informatics, or a related field Minimum 7 years of experience building and operating data science and AI infrastructure, including with open-source tooling. Demonstrated experience leading platform projects that span multiple teams (IT + security/compliance + platform owners) Significant hands-on experience in a Healthcare or Research setting with: Kubernetes and container-based platforms in production environments Healthcare or research-focused ML and LLM applications R and Python for advanced analytics Distributed computing and scalable ML systems Python and Linux/Unix scripting for automation and tooling Demonstrated experience implementing Continuous Integration/Continuous Delivery concepts in research or ML environments. Strong verbal and written communication skills and a track record of partnering with non-platform stakeholders (such as researchers, analysts, or clinical teams) to translate their needs into platform capabilities Preferred Qualifications Prior experience in clinical research, public health, or life sciences environments. Familiarity with regulated data environments (HIPAA, IRB-controlled research). Experience supporting collaborative, multi-institutional research projects. Experience deploying ML systems in onprem or private cloud research computing environments.
Fluency with:
Python, Linux OS and scripting, CI/CD, container building (Docker compatible), configuration syntaxes (YAML, TOML, XML), JSON, RESTful service, Airflow Working knowledge of R programming, RStudio configuration, Spark/H2O, serverless functions, Ci/CD, Gitlab, Vault, Django, Rancher, Harvester Please email us your updated resume along with the contact details ASAP.