AI.ML Engineer (Google)

Key Responsibilities

• Design and deploy AI/ML solutions using Google Cloud Platform tools such as Vertex AI, Gemini APIs, BigQuery, and Dataflow.
• Develop Generative AI applications including document processing, knowledge retrieval, claims summarization, and chatbot solutions.
• Implement prompt engineering, RAG pipelines, model tuning, and MLOps best practices.
• Build and maintain end-to-end ML pipelines, including deployment, monitoring, and automated retraining.
• Ensure solutions meet security, compliance, and governance standards including SOC 1, SOC 2, HIPAA, and CMMC-aligned controls.
• Partner with business stakeholders to translate operational challenges into scalable AI solutions.
• Communicate technical concepts to both technical and non-technical audiences and support responsible AI adoption.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 3–5 years of experience in AI/ML engineering or data science.
• Strong experience with GCP services, Python, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with Generative AI, LLMs, prompt engineering, and RAG architectures.
• Knowledge of cloud security, IAM, encryption, and secure development practices.
• Preferred experience in healthcare, insurance, or other regulated industries, along with familiarity with HIPAA, SOC compliance, and AI governance.

Benefits

• Medical insurance
• Vision insurance
• Dental insurance
• 401(k)
• Disability insurance