AI/ML Developer

**Role Overview** We are seeking a highly skilled **Senior AI/ML Developer** to design, architect, and deliver **enterprise-grade Generative AI solutions**, with a strong focus on **healthcare use cases**. The ideal candidate will combine deep technical expertise in **machine learning, large language models (LLMs), and software engineering** to build scalable, secure, and responsible AI systems. * * * **Key Responsibilities** **AI/ML Development & Architecture** - Design and develop **scalable AI/ML solutions** using **LLMs and other machine learning models**. - Architect and implement **Generative AI systems** that are scalable, resilient, and aligned with ethical AI practices. - Work as a **Subject Matter Expert (SME)** for Generative AI, partnering with Product and Engineering teams. - Develop and maintain **end-to-end AI pipelines**, including: - Data preprocessing - Feature engineering - Model training and evaluation **Solution Design & Integration** - Build **extensible APIs and integrations** to connect AI models with enterprise systems. - Develop **low-code/no-code UI/UX solutions** for rapid delivery cycles. - Design structured outputs (JSON, arrays, HTML) with **nested nodes**, ensuring seamless **frontend/dashboard consumption**. - Implement solutions integrating **LLMs (e.g., GPT models)** to extract insights and deliver actionable data. **Cloud & Distributed Systems** - Architect and deploy solutions on **cloud platforms** such as AWS, Azure, or GCP. - Build and maintain **distributed, scalable systems** for AI workloads. - Optimize models and systems for **performance, scalability, and efficiency**. **AI Optimization & Prompt Engineering** - Optimize generative AI models for improved accuracy and response quality. - Develop **effective prompt engineering strategies** based on understanding how AI interprets data. - Implement advanced use cases such as: - Retrieval-Augmented Generation (RAG) - Conversational systems - Summarization and translation **Responsible AI & Governance** - Design solutions aligned with **Responsible AI principles**: - Fairness - Transparency - Security - Accountability - Identify, assess, and mitigate **risks associated with generative AI systems**. - Ensure compliance with **privacy and data protection standards**, especially in healthcare environments. **Collaboration & Documentation** - Collaborate closely with **cross-functional teams** including Product, Data, and Engineering. - Translate business problems into **actionable AI-driven solutions**. - Create clear documentation: - Technical specifications - Architecture diagrams - User guides and presentations - Contribute to **best practices and standards** for AI/ML development across the organization. **Required Qualifications** - Proven experience delivering **at least one large-scale Generative AI solution**. - Strong hands-on experience with: - **Machine Learning & AI (especially NLP and Generative AI)** - Frameworks: **TensorFlow, PyTorch** - Open-source platforms: **Hugging Face** - Experience working with: - **LLMs (GPT family, DALL·E, or similar)** - Data pipelines and ML lifecycle management - Strong **software engineering skills** for deploying AI into production environments. - Experience building **APIs, system integrations, and scalable architectures**. - Solid understanding of **distributed systems design**. **Preferred Qualifications** - Experience in **healthcare domain** or regulated environments. - Hands-on experience with: - **RAG architectures** - AI-powered dashboards and visualization tools - Familiarity with **CI/CD and DevOps practices**. - Experience designing **enterprise-grade, production-ready AI systems**. **Technical Skills** - Programming: Python (preferred), SQL - AI/ML: NLP, LLMs, Generative AI - Frameworks: TensorFlow, PyTorch - Tools: Hugging Face, APIs, data pipelines - Cloud: AWS, Azure, GCP - Data formats: JSON, HTML, structured outputs - Version control: Git **Soft Skills** - Strong analytical an…