AI Application Architect

Hi, Job Title: Machine Learning Lead Location: Columbus, OH (Remote Should be open to travel) Employment Type: Full-Time / Contract Role Overview We are seeking a Machine Learning Lead to drive the design, development, and deployment of scalable AI/ML solutions that create measurable business impact. This role combines technical depth, architectural thinking, and people leadership , and is ideal for someone who enjoys owning ML strategy end-to-end from data and experimentation to production systems and governance. You will lead high-performing ML engineers and data scientists, partner closely with Product, Engineering, and Business stakeholders, and shape the organization s AI roadmap.

Key Responsibilities

Technical Leadership Lead the architecture, development, and deployment of machine learning models and AI systems at scale. Own the entire ML lifecycle : problem formulation, data preparation, model training, evaluation, deployment, monitoring, and continuous improvement. Design and implement MLOps pipelines for CI/CD, model versioning, performance monitoring, and retraining. Ensure ML systems are robust, secure, explainable, and production-ready .

Strategy & Business Impact Work with Product and Business leaders to translate business problems into ML-driven solutions . Define ML roadmaps, technology standards, and best practices aligned with company goals. Drive adoption of AI capabilities to improve customer experience, operational efficiency, and revenue growth. Evaluate and recommend tools, frameworks, platforms, and cloud services for ML workloads.

People & Team Leadership Lead, mentor, and grow a team of ML engineers and data scientists. Conduct technical design reviews, code reviews, and model reviews. Foster a culture of experimentation, collaboration, and data-driven decision-making . Support hiring, onboarding, and performance management of ML talent.

Governance & Ethics Ensure compliance with data privacy, security, and AI governance standards . Promote responsible AI practices, including fairness, explainability, and bias mitigation.

Required Qualifications Bachelor s or Master s degree in Computer Science, Machine Learning, Data Science, AI, or related field . 8+ years of experience in software development or data science, with 5+ years hands-on in Machine Learning . Proven experience building and deploying ML models in production environments . Strong fundamentals in: Supervised & unsupervised learning Deep learning (CNNs, RNNs, Transformers) NLP, Computer Vision, or Recommendation Systems (at least one area of depth) Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn . Experience with big data and distributed systems (Spark, Kafka, Hadoop). Strong understanding of cloud platforms (AWS, Azure, Google Cloud Platform).

For applications and inquiries, contact: [email protected]