Job Description
At 2026 Dynamics, we are pioneering the infrastructure for tomorrow's autonomous world. As a Lead Machine Learning Engineer, you will be at the forefront of developing next-generation algorithms that drive our predictive analytics platform. We are looking for a visionary engineer who combines deep technical expertise with strategic thinking to solve complex problems at scale.
Key Highlights:
- Work with state-of-the-art AI and neural network architectures.
- Shape the technical roadmap for a rapidly scaling enterprise.
- Competitive salary, comprehensive benefits, and equity package.
Responsibilities
- Design, develop, and deploy scalable machine learning models for large-scale data processing.
- Lead a team of data scientists and ML engineers to drive innovation and code quality.
- Collaborate with product managers and stakeholders to define technical requirements and AI strategies.
- Optimize model performance, latency, and accuracy for production environments.
- Establish and enforce best practices for MLOps, CI/CD, and data governance.
- Research and evaluate new technologies and methodologies to improve our competitive edge.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of leading technical teams and mentoring junior engineers.
- Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders.