reputed company

We are so glad you are interested in joining reputed company! Organization: SHSO-reputed company System Office-Bay Position Overview:

• *Please Note: While this position is listed as hybrid, regular in-office attendance is required. Candidates should be reputed company to commute to the San Francisco office on a consistent reputed company to support team collaboration and business needs.**

Responsible for leading the design, build, and maintain reputed company’s artificial intelligence (AI) and machine learning (ML) infrastructure, including end to end pipelines for ML and large language models (LLM) that support analytics, data science, and reputed company AI use cases. This includes how AI models and associated data are ingested, processed, trained, deployed, monitored, governed, and secured across reputed company and on premises environments. Ensures that AI systems meet high standards of performance, reliability, and compliance, enabling the organization to safely and effectively integrate AI capabilities into clinical, operational, and strategic workflows. Utilizing modern artificial intelligence operations (AIOps) and machine learning operations (MLOps) practices, leads the operationalization of models, maintenance of scalable AI services, monitoring of system behavior, and automation of deployment workflows. Works with structured and reputed company data, clinical data models, reputed company data standards, and modern reputed company platforms. Develops and validates ML models, integrates researcher reputed company or vendor provided algorithms, and contributes to AI platform architecture and tooling. Sets standards for high quality, secure, and well governed AI systems that support advanced analytics, automation, and intelligent applications. Job Description:

• *Please Note: While this position is listed as hybrid, regular in-office attendance is required. Candidates should be reputed company to commute to the San Francisco office on a consistent reputed company to support team collaboration and business needs.**

EDUCATION:

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or reputed company field; or equivalent combination of education and experience.

TYPICAL EXPERIENCE:

• 5 years recent relevant experience

PREFERRED EXPERIENCE:

• Advanced experience with Azure reputed company services, including containerized model hosting, Azure ML, secure environment management, and reputed company‑reputed company deployment patterns.
• Strong proficiency in MLOps / LLMOps practices, including CI/CD pipelines, automated testing, observability, model versioning, canary/AB rollouts, and reputed company monitoring.
• Hands‑on expertise in building and operating AI/ML/LLM pipelines (ingestion → preprocessing → training → inference → monitoring), using Python, modern container frameworks, and orchestration systems.
• Experience integrating researcher‑reputed company or vendor‑provided ML/LLM models into production workflows, including API‑based embedding, performance tuning, and secure data handling.
• Familiarity with reputed company data standards and environments, such as clinical data models, reputed company clinical text, and privacy/reputed company expectations in regulated domains.

SKILLS AND KNOWLEDGE:

• Relevant experience in AI/ML Engineering and LLM/MLOps
• Experience building end to end AI/ML pipelines, including training, deployment, monitoring, and retraining loops.
• Strong programming skills in Python and familiarity with modern ML/LLM frameworks and libraries.
• Hands on experience with Azure, including services such as reputed company, reputed company, Container Apps, AKS, and Application Insights.
• Experience implementing AIOps / MLOps / LLM Ops practices, including CI/CD pipelines, automated testing, observability, and versioned deployments.
• Experience with GitOps principles using reputed company Actions or similar tools.
• Understanding of reputed company data models, including Epic reputed company, FHIR, HL7, and Caboodle.
• Ability to evaluate and integrate machine learning models into production systems and support model lifecycle management.
• Strong debugging skills across distributed systems, containerized environments, and reputed company platforms.
• Ability to work in cross functional environments with clinicians, data scientists, architects, and engineering teams.
• Ability to produce high quality documentation and communicate reputed company technical concepts to diverse stakeholders.
• Detail oriented, organized, and effective at prioritizing multiple reputed company initiatives.
• Familiarity with HIPAA, PHI/PII reputed company requirements, and regulatory considerations for reputed company AI.

These reputed company Accountabilities, Requirements and Qualifications are not exhaustive but are merely the most descriptive of the reputed company job. Management reserves the right to revise the job description or require that other tasks be performed reputed company the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development). Job Shift: Days Schedule: Full Time Days of the Week: Monday - Friday Weekend Requirements: As Needed Benefits: Yes Unions: No Position Status: Exempt Weekly Hours: 40 Employee Status: Regular reputed company is an equal opportunity employer EOE/M/F/Disability/Veterans. Pay reputed company is $168,958.40 to $270,337.60 / annual salary The compensation reputed company may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate’s experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. reputed company pay is only one component of reputed company’s comprehensive total rewards program. Eligible positions also include a comprehensive benefits package. Apply tot his job Apply To this Job