Information Systems Engineer 3

IMPORTANT: Suppliers should not submit workers whose physical residence is within the following states due to Intuitive tax and operating entity structure:
Alabama Arkansas Delaware Florida Indiana Iowa Louisiana Maryland Mississippi Missouri Oklahoma Pennsylvania South Carolina and Tennessee.
Please interpret this as Intuitive policy to which all suppliers are required to comply.

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***Important Notes to supplier: *** (US)
Subvending not allowed Worker need to be on your direct W2.
Need to do a properpre technical screening.
Need to have recruiter screening summary on top of resume.
Including Skill matrix and Writeup from worker on these skills is a plus.
All past projects should have Durations and locations.
Current location must be mentioned on the resume.
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Actual Title of the role: ML/AI Developer
Duration: 12month
Contract/possibility for conversions: NA
Max billBR8/hr
Onsite/Hybrid/Remote: hybrid (SV office)
Only Locals/Nonlocals can be submitted: Only locals
Mode of interview: Zoom Inperson
No of rounds of interview: 3
New JP or Backfill position New JP

Machine Learning AI Developer IT Infrastructure InfoSec and Operations
We are seeking a talented and innovative Machine Learning AI Developer to join our IT Infrastructure InfoSec and Operations team. In this role you will be at the forefront of leveraging artificial intelligence to enhance our organization s security efficiency and operational capabilities.

Responsibilities:
Design develop and implement advanced machine learning models and algorithms to address complex challenges in areas such as threat detection anomaly detection and risk assessment.
Develop AIdriven solutions that integrate seamlessly with existing IT infrastructure and security systems.
Collaborate with crossfunctional teams to identify and prioritize AI use cases that align with organizational goals.
Build and maintain scalable data pipelines to process large volumes of logs telemetry signals and other relevant data sources.
Manage cloudbased AI/ML infrastructure using services such as AWS Azure or GCP.
Develop and maintain CI/CD pipelines for automated model training testing and deployment.
Ensure the security and integrity of AI models and data throughout the development lifecycle.
Stay current with advancements in AI/ML technologies and security trends to incorporate new techniques into solutions.
Requirements:
Bachelor s or Master s degree in Computer Science Artificial Intelligence or a related field.
Overall 10 Years experience with 3 years of experience developing and implementing machine learning models preferably in IT or cybersecurity contexts.
Strong programming skills in Python and familiarity with ML frameworks like TensorFlow PyTorch or scikitlearn.
Experience with cloud platforms (AWS Azure or GCP) and containerization technologies (Docker Kubernetes).
Knowledge of data processing tools and big data technologies (e.g. Spark Hadoop).
Familiarity with cybersecurity principles and tools such as SIEM or IDS/IPS systems.
Excellent problemsolving skills with the ability to address complex challenges creatively.
Strong communication skills and ability to collaborate effectively across teams.
Preferred Qualifications:
Experience with natural language processing (NLP) or large language models (LLMs).
Familiarity with DevSecOps practices and tools.
Knowledge of regulatory compliance requirements (e.g. GDPR HIPAA).
Contributions to opensource AI/ML projects or research publications in the field.

This is an exciting opportunity to shape the future