Hi, WE have below 2 positions with our direct client and both are hybrid position and kindly reply asap at your interest so I reach you immediately to schedule one round interview with client .

JOB 1: AI Analyst with Healthcare Background

Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)

Duration: Long term

Client: Direct client

JOB 2: AI ML Developer with Data Science experience

Location: Woodland Hills. CA (Commute three times in a week to Woodland Hills office)

Duration: Long term

Client: Direct client

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#	Role	Job Description
1	AI Analyst with Healthcare Background	seeking an experienced Artificial Intelligence & Machine Learning (AI/ML) Systems Analyst to bridge the gap between business stakeholders, data scientists, AI/ML engineers, and technology teams. This role will be responsible for analyzing business problems, defining AI/ML solution requirements, evaluating data readiness, supporting model implementation, and ensuring AI solutions align with business objectives, regulatory requirements, and enterprise governance standards. The ideal candidate will possess strong analytical skills, healthcare domain knowledge, and experience working with AI, machine learning, and Generative AI technologies. Key Responsibilities Business & Systems Analysis Collaborate with business stakeholders to identify opportunities for AI/ML-driven process improvements and automation. Elicit, analyze, and document business, functional, and non-functional requirements. Create user stories, process flows, use cases, data mappings, and acceptance criteria. Translate business requirements into AI/ML solution specifications. Support backlog grooming, sprint planning, and Agile delivery processes. AI/ML Solution Analysis Partner with AI/ML engineers and data scientists to define model objectives and success metrics. Analyze data sources and determine data quality, completeness, and readiness for AI initiatives. Support predictive analytics, recommendation systems, NLP, GenAI, and intelligent automation initiatives. Evaluate AI model outputs and assist with validation, testing, explainability, and business adoption. Data & Analytics Perform data analysis using SQL, Python, Power BI, and reporting tools. Develop dashboards and reporting mechanisms to monitor AI model performance and business outcomes. Support data governance, lineage, quality, and compliance activities. Assist in feature identification and business rule definition for ML models. AI Governance & Compliance Ensure AI solutions comply with enterprise AI policies, security standards, and regulatory requirements. Support documentation of model governance, auditability, explainability, and risk assessments. Participate in AI solution reviews, testing, and deployment readiness activities. Stakeholder Engagement Act as a liaison between business teams, product owners, architects, data engineers, and AI/ML engineers. Communicate findings, recommendations, and project status to leadership and project stakeholders. Facilitate workshops, requirement sessions, and solution reviews. Required Qualifications Education Bachelor''''s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related field. Master''''s degree preferred. Experience 5+ years of Systems Analysis, Business Analysis, Product Analysis, or related experience. 2+ years supporting AI/ML, Advanced Analytics, Data Science, or Generative AI initiatives. Experience working within Agile/Scrum delivery environments. Healthcare, insurance, or regulated industry experience preferred. Technical Skills SQL and relational databases Python or R for analytics Power BI, Tableau, or equivalent reporting tools Machine Learning concepts and model lifecycle understanding Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering concepts Cloud platforms such as Azure, AWS, or Google Cloud Platform Azure AI Services, Azure Machine Learning, or equivalent AI platforms preferred Preferred Skills Healthcare benefits, claims, member, provider, or utilization management domain knowledge. Experience with AI governance frameworks and responsible AI practices. Understanding of MLOps concepts, model monitoring, and deployment processes. Knowledge of NLP, Computer Vision, Predictive Analytics, and Agentic AI architectures. Familiarity with Jira, Azure DevOps, Confluence, and Git-based development workflows.
2	AI ML Developer with Data Science experience	Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol. Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering. Strong programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud. Experience with databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus). Proven ability to design and manage Azure Functions and Azure Container Apps. Strong understanding of cloud-native architecture, scalability, and performance optimization. Strong Communication skills.

Thanks & Regards

__________________________________

Sandy

Email:

Desk:

Talent Acquisition Specialist

BRIDGENEXUS TECHNOLOGIES INC

41829 Albrae Street, Suite 112

Fremont, California 94538

Artificial Intelligence

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