Machine Learning Data & Tools Lead engineer

Full Time

Onsite in San Jose, CA

R&D startup with a revolutionary cutting-edge product (HW & SW) with about 100 employees, is seeking a Data Quality & Tools Manager to lead company efforts in ensuring the integrity, accuracy & usability of our ML data. This role involves developing and implementing data quality strategies, overseeing data governance initiatives & managing the tools and technologies used for data quality management. The ideal candidate will have a strong understanding of machine learning, data analysis, quality assurance & leadership skills to drive the team towards excellence.

Responsibilities:

Develop, implement, and monitor data quality standards, policies, and procedures to ensure high-quality data

Evaluate, select, and manage data quality tools and technologies. Lead the integration of these tools into existing workflows

Manage a team of data analysts and quality assurance professionals, providing guidance, training, and support to enhance their skills and performance.

Conduct data quality assessments and analyses to identify trends, root causes of issues, and opportunities for improvement

Work closely with cross-functional teams to understand data needs and promote data quality initiatives across the organization

Develop and present regular reports on data quality metrics, project progress, and improvement plans to senior management

Drive a culture of continuous improvement by identifying opportunities to enhance data quality processes and tools

Qualifications:

BS degree in computer science, information technology, Statistics or related field. MS degree preferred

5+ years of experience in data management, data quality, or data governance roles.

Deep hands-on / technical experience of LLM's, machine learning concepts, algorithms, and model evaluation techniques

Strong communication and collaboration skills with the ability to work effectively in cross functional team environment

Strong analytical and problem-solving skills, with the ability to analyze complex ML models and identify potential issues

Proficient at balancing multiple efforts simultaneously and meeting strict deadlines

Persistent and inquisitive problem solver, committed to driving quality forward

Significant management experience as a Software Quality Assurance Manager in an ML-focused environment

Established pattern of building strong teams – attracting, hiring, motivating, and retaining the best engineers

Proven experience in designing and maintaining data collection tools and infrastructure.

Proficiency in programming languages such as Python, Java or JavaScript

Strong knowledge of database management systems and data modeling concept