Engineering Manager - Machine Learning - Python, LLM, XG Boost

• Role Summary
• In the first few months, you will successfully lead the development and deployment of machine learning models while meeting project deadlines and quality standards.
• Responsibilities

• Lead a team of engineers and data scientists focused on machine learning model development.
• Collaborate with product managers and cross-functional teams to establish project requirements and deliverables.
• Oversee the design and implementation of machine learning algorithms including LLM, XG Boost, and Random Forest.
• Ensure adherence to software development best practices and machine learning methodologies.
• Track project progress and provide regular updates to stakeholders.
• Implement continuous improvement initiatives for productivity and quality enhancement within the team.

Must-Have Skills

• Strong expertise in machine learning techniques and algorithms.
• Proficiency in Python programming language.
• Experience with LLM, XG Boost, and Random Forest methods.
• Excellent leadership skills with a focus on team management.
• Strong problem-solving abilities with a results-oriented approach.

Good-to-Have Skills

• Familiarity with cloud-based ML platforms and tools.
• Experience in managing large-scale machine learning projects.
• Knowledge of additional programming languages or frameworks related to machine learning.