Machine Learning Lead

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).