Job Description: Job Description: AI Engineer (Cloud & Healthcare) We are seeking a dynamic and innovative AI Engineer to join our growing team in Noida . This role is ideal for a technologist who is passionate about building scalable AI solutions within the US Healthcare domain and has a strong foundation in Google Cloud Platform (GCP) .

Whether you are a high-potential fresh graduate or an experienced professional with up to 5 years of experience, we are looking for someone who can bridge the gap between complex data science and production-ready cloud environments.

Role Overview

- Location :Noida, India (On-site/Hybrid as per company policy)
- Experience :0-5 Years
- Domain :US Healthcare
- Primary Stack :Python, GCP, Vertex AI, LLMs, SQL

Key Responsibilities

- Model Development :Design, develop, and deploy machine learning models (Predictive Analytics, NLP, or Generative AI) tailored for healthcare use cases such as patient risk stratification, claims processing, or clinical documentation.
- Cloud Architecture :Leverage Google Cloud Platform (GCP) services—specifically Vertex AI , BigQuery ML, and Dataflow—to build and maintain end-to-end AI pipelines.
- Healthcare Data Standards :Work with sensitive healthcare data, ensuring compliance with HIPAA regulations and utilizing standards like HL7 and FHIR .
- Collaboration :Work closely with cross-functional teams (Data Engineers, Product Managers, and Clinicians) to translate clinical requirements into technical specifications.
- Communication :Act as a technical bridge, explaining complex AI concepts to non-technical stakeholders clearly and effectively.

Required Skills & Qualifications Technical Excellence**

- Programming :Mastery of Python and common libraries (Pandas, NumPy, Scikit-learn, TensorFlow,



or PyTorch).
- GCP Ecosystem :Practical experience with Vertex AI, Cloud Functions, and BigQuery. Knowledge of AI Platform or AutoML is a plus.
- Cloud Exposure :Solid understanding of cloud infrastructure, including CI/CD pipelines for ML (MLOps) and containerization (Docker/Kubernetes).
- Generative AI :Familiarity with LLMs (Gemini, GPT) and orchestration frameworks like LangChain or LlamaIndex is highly desirable.

Domain & Soft Skills

- US Healthcare Knowledge :Understanding of the US healthcare landscape (Payor/Provider workflows, ICD-10/CPT codes, or EMR integration).
- Communication :Exceptional verbal and written communication skills**are mandatory. You must be able to document processes and present findings confidently.
- Problem Solving :A proactive mindset with the ability to navigate ambiguous requirements.

Experience Brackets

- 0-2 Years :Focus on strong algorithmic foundations, Python proficiency, and a fast learning curve on GCP and Healthcare compliance.
- 3-5 Years :Proven track record of deploying models in a production environment, mentoring junior peers, and driving architectural decisions on the cloud.

Why Join Us?

- Opportunity to work on high-impact projects that directly improve patient outcomes.
- Hands-on experience with the latest Google Cloud AI research and tools.




- A collaborative environment in the heart of Noida’s tech hub.

Responsibilities: Job Description: AI Engineer (Cloud & Healthcare) We are seeking a dynamic and innovative AI Engineer to join our growing team in Noida . This role is ideal for a technologist who is passionate about building scalable AI solutions within the US Healthcare domain and has a strong foundation in Google Cloud Platform (GCP) .

Whether you are a high-potential fresh graduate or an experienced qualified with up to 5 years of experience, we are looking for someone who can bridge the gap between complex data science and production-ready cloud environments.

Role Overview

- Location :Noida, India (On-site/Hybrid as per company policy)
- Experience :0-5 Years
- Domain :US Healthcare
- Primary Stack :Python, GCP, Vertex AI, LLMs, SQL

Key Responsibilities

- Model Development :Design, develop, and deploy machine learning models (Predictive Analytics, NLP, or Generative AI) tailored for healthcare use cases such as patient risk stratification, claims processing, or clinical documentation.
- Cloud Architecture :Leverage Google Cloud Platform (GCP) services—specifically Vertex AI , BigQuery ML, and Dataflow—to build and maintain end-to-end AI pipelines.
- Healthcare Data Standards :Work with sensitive healthcare data, ensuring compliance with HIPAA regulations and utilizing standards like HL7 and FHIR .
- Collaboration :Work closely with cross-functional teams (Data Engineers, Product Managers, and Clinicians) to translate clinical requirements into technical specifications.
- Communication :Act as a technical bridge, explaining complex AI concepts to non-technical stakeholders clearly and effectively.

**Required Skill

📌 Gen Ai Engineer (Noida)
🏢 EXL Service
📍 Noida