Machine Learning Lead
Posted Today by i-Connectresources, Inc.
Negotiable
Undetermined
Remote
Remote
Summary: The Machine Learning Lead role involves driving the design, development, and deployment of scalable AI/ML solutions to achieve significant business impact. This position requires a blend of technical expertise, architectural insight, and leadership skills, overseeing the entire ML lifecycle and collaborating with various stakeholders. The ideal candidate will lead a team of ML engineers and data scientists while shaping the organization's AI strategy. Travel may be required despite the remote nature of the position.
Key Responsibilities:
- 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.
- 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.
- 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.
- Ensure compliance with data privacy, security, and AI governance standards.
- Promote responsible AI practices, including fairness, explainability, and bias mitigation.
Key Skills:
- 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).
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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).