Lead Machine Learning
13 hours ago
Job Description:
We are seeking a highly skilled Lead Machine Learning Engineer / Lead Data Science Engineer to drive the development and implementation of cutting-edge machine learning models and data-driven solutions. In this leadership role, you will work closely with cross-functional teams to define project goals, mentor junior engineers, and oversee the end-to-end lifecycle of machine learning models—from data collection and preprocessing to deployment and optimization.
Key Responsibilities:
- Lead the design, development, and deployment of scalable machine learning models for various business applications.
- Collaborate with product managers, engineers, and other stakeholders to translate business problems into data-driven solutions.
- Oversee model validation, testing, and continuous improvement, ensuring high performance, accuracy, and scalability.
- Mentor and guide junior data scientists and machine learning engineers, fostering a culture of innovation and learning.
- Stay up to date with the latest advancements in machine learning and data science, applying new techniques to solve complex problems.
- Manage and streamline data pipelines, ensuring efficient processing and model integration.
- Communicate complex technical concepts to non-technical stakeholders and executives.
Skills & Qualifications:
- Strong proficiency in programming languages such as Python, R, or Scala.
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Expertise in statistical modeling, data analysis, and algorithm development.
- Experience with cloud platforms (AWS, GCP, Azure) and distributed computing.
- Proven leadership experience and ability to mentor and manage teams.
- Strong problem-solving, analytical, and communication skills.
Work Location: Remote
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