About the Role:
We are seeking a highly skilled and visionary Lead Engineer, Machine Learning to drive the development and deployment of scalable AI/ML systems that power our products and data-driven operations. In this role, you will lead a team of ML engineers and work closely with data scientists, software engineers, and product stakeholders to deliver impactful machine learning solutions — from prototype to production.
You’ll be at the forefront of shaping the architecture, tooling, and best practices that ensure high performance, reliability, and innovation across our machine learning stack.
Key Responsibilities:
- Architect, build, and scale end-to-end ML solutions — including data ingestion, model training, evaluation, deployment, and monitoring
- Lead technical design and implementation of ML infrastructure and tools to accelerate experimentation and model lifecycle management
- Collaborate with data scientists to productionize models and optimize performance at scale
- Drive adoption of MLOps best practices, CI/CD for ML, and model observability
- Mentor and grow a team of ML engineers, fostering a high-performance and inclusive engineering culture
- Work cross-functionally with product managers, backend/frontend engineers, and business stakeholders to align ML initiatives with business goals
- Stay current with the latest developments in machine learning and AI engineering, and guide applied innovation
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or a related field (PhD is a plus)
- 6+ years of hands-on experience developing and deploying machine learning systems at scale
- Proficient in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, XGBoost, scikit-learn)
- Strong software engineering background, including APIs, microservices, version control, testing, and documentation
- Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, SageMaker, Airflow, Docker, Kubernetes)
- Experience with cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks (e.g., Spark, Ray)
Preferred Qualifications:
- Prior experience leading or managing ML/AI teams in fast-paced environments
- Familiarity with real-time machine learning, personalization, ranking, or anomaly detection
- Strong understanding of data privacy, ethical AI, and model fairness
- Contributions to open-source ML/AI projects or publications in relevant areas
What We Offer:
- A leadership role with the opportunity to shape the future of ML at scale
- High-impact projects using cutting-edge tools and data architectures
- Competitive salary and meaningful equity
- Remote flexibility and a collaborative, supportive team culture
- A clear path for technical growth, leadership development, and innovation
How to Apply:
📩 Send your resume, portfolio or GitHub link, and a brief note outlining your interest to: ai-jobs@yourcompany.com
Subject: Application – Lead Engineer, Machine Learning – [Your Name]
🗓 Applications reviewed on a rolling basis