Generative AI / Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer with deep expertise in Generative AI to design, deploy, and manage LLM-powered applications in production. This role requires strong hands-on experience building, training, and launching models, with a focus on prompt engineering and optimizing real-world application performance. Key Responsibilities: • Design, develop, and deploy LLM-based applications leveraging platforms such as Gemini and/or GPT. • Build, train, fine-tune, and optimize models for production environments. • Apply effective prompt engineering techniques to improve model performance and outputs. • Work closely with business stakeholders and subject matter experts to understand use cases and integrate AI solutions into existing applications. • Manage cloud-based AI infrastructure, ensuring scalability, reliability, and cost-efficiency. • Collaborate with cross-functional engineering and analytics teams to integrate AI capabilities into enterprise applications. Required Qualifications: • 3+ years of experience as a Machine Learning Engineer, Data Scientist, or similar role. • Proven hands-on experience with Generative AI models and platforms (Gemini and/or GPT strongly preferred). • Strong proficiency in Python and experience with data preprocessing, feature engineering, and model evaluation. • Expertise with Google Cloud Platform (GCP), particularly Vertex AI for model training, deployment, and monitoring. • Experience building and deploying LLM-powered applications in production environments. • Strong understanding of prompt engineering techniques and best practices. Preferred Qualifications: • Background in both Data Science (60%) and Machine Learning Engineering (40%), with proven ability to push code to production. • Experience working with RDBMS & NoSQL databases (e.g., PostgreSQL, MongoDB, BigQuery). • Prior experience in high-volume, business-critical application environments. • Healthcare domain experience (nice to have, but not required).