AI Architect at NJ

About Nation Mind LLC:

Nation Mind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Architect to join our growing team.

Location:

New Jersey (NJ) / Remote

Employment Type:

Full-Time

• Design, build, and deploy robust ML/AI models for applications in drug discovery, clinical trials, bioinformatics, and operational excellence.
• Architect and implement scalable AI/ML platforms and solution frameworks across cloud and hybrid environments.
• Develop and maintain high-performance data pipelines to process large volumes of structured and unstructured scientific and clinical data.
• Translate complex scientific and business problems into practical AI/ML solution designs.
• Evaluate, select, and implement state-of-the-art algorithms including deep learning, NLP, computer vision, and generative AI.
• Lead model lifecycle management including training, validation, deployment, monitoring, and continuous improvement.
• Optimize and product ionize ML models with focus on performance, scalability, explainability, and regulatory compliance.
• Establish AI architecture standards, best practices, and governance frameworks.
• Guide and mentor AI/ML teams; conduct design reviews and technical oversight.
• Collaborate cross-functionally with data science, engineering, clinical, and product teams.
• Ensure adherence to data privacy, security, and regulated industry requirements (GxP, HIPAA, etc., where applicable).

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Bioinformatics, or related field (PhD preferred).
• 8+ years of experience in AI/ML engineering with architecture or technical leadership responsibilities.
• Strong hands‑on experience with ML/DL frameworks (Tensor Flow, PyTorch, Scikit‑learn, etc.).
• Proven experience designing and deploying production‑grade AI/ML systems.
• Expertise in data engineering and pipeline design for large‑scale datasets.
• Experience with NLP, deep learning, and generative AI techniques.
• Strong programming skills in Python and related AI ecosystem tools.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of MLOps, CI/CD, model monitoring, and versioning practices.
• Excellent problem‑solving and architectural design skills.

Flexible work from home options available.