AI/ML Engineer (Hybrid)

Total Required Experience in Years: Minimum 10+ YearsMode of Work: Hybrid (Local Candidates Only)Job Description:Seeking an experienced AI/ML Engineer to design, develop, and optimize enterprise-grade Artificial Intelligence and Machine Learning solutions within healthcare environments. The ideal candidate should possess strong expertise in Python AI development, GPT/LLMs, machine learning frameworks, healthcare applications, and Generative AI technologies. This role requires building scalable and secure AI-driven healthcare solutions, designing enterprise-grade machine learning pipelines, integrating GPT-based models, and supporting ethical AI practices focused on privacy, fairness, and security. The candidate will collaborate within Agile teams to architect, develop, and deploy AI-powered applications, dashboards, APIs, and automation workflows that transform healthcare datasets into actionable business insights.Key Responsibilities Design, build, and optimize scalable AI/ML solutions using GPT, LLMs, and machine learning technologies to solve healthcare-related business challenges Develop enterprise-grade AI applications with strong focus on privacy, fairness, ethical AI, security, and compliance standards Act as a Generative AI subject matter expert to architect and develop scalable, resilient AI solutions for enterprise healthcare applications Design AI outputs using structured formats such as JSON, nested nodes, arrays, and HTML to support dashboard visualization and accelerated development cycles Build extensible API integrations and low-code UI/UX-enabled AI solutions to integrate enterprise systems with GPT-based models and analytics workflows Develop solutions that extract insights from multiple sources and present information in high-performing, intuitive dashboards Translate business problems into AI-driven solution outcomes and actionable insights Understand AI interpretation of datasets and develop effective prompt engineering strategies to generate expected business outcomes Architect and develop distributed systems and scalable infrastructure supporting machine learning technologies and enterprise AI solutions Develop, maintain, and optimize AI/ML pipelines including data preprocessing, feature extraction, model training, testing, and evaluation Utilize machine learning frameworks such as TensorFlow, PyTorch, and open-source platforms like Hugging Face to deliver enterprise AI capabilities Optimize generative AI models for performance, scalability, reliability, and operational efficiency Additional Responsibilities Collaborate with product development, business, and technical teams within Agile environments Support enterprise AI governance, responsible AI standards, and ethical deployment practices Improve AI model performance through optimization, tuning, and experimentation initiatives Support dashboard integrations, API orchestration, and scalable AI service deployments Participate in continuous innovation and modernization of AI-driven healthcare systems Required Skills Minimum 10 years of experience in software engineering, AI, machine learning, or related technical environments Strong expertise in Python AI development, GPT, LLMs, and Generative AI technologies Experience building healthcare-related AI/ML applications and enterprise healthcare solutions Strong experience with TensorFlow, PyTorch, Hugging Face, and machine learning frameworks Strong understanding of Natural Language Processing (NLP), generative models, and prompt engineering Experience designing AI outputs in JSON, arrays, HTML, or structured formats for downstream systems and dashboards Experience developing AI pipelines including preprocessing, feature engineering, model training, and evaluation Strong API integration and scalable distributed system development experience Strong analytical, problem-solving, and stakeholder collaboration skills Experience building privacy-focused, secure, ethical, and responsible AI solutions Qualifications Experience supporting healthcare environments and healthcare data-driven applications required Strong expertise in Generative AI, GPT, and LLM-based enterprise solutions preferred Experience working in Agile software development environments preferred Local New Jersey candidates only required Certifications AI/ML certification preferred Python certification preferred Cloud AI certification preferred