AI/ML Engineer (Hybrid)

Job Description

Job Description

Total Required Experience in Years: Minimum 10+ Years

Mode 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