Job Title- Senior Technical Program Manager (AI/ML)
Location- Mountain View CA United States 94041
Reporting Type- Onsite
Duration: 11 Months
W2 candidates only for this role
Summary
The Clients R&D Operations Organization is seeking a highly motivated and technically skilled Technical Program Manager (TPM) to lead and oversee data annotation programs that power our cutting-edge AI research initiatives. This role sits at the intersection of program management data operations and AI/ML and will play a pivotal part in ensuring that our data annotation efforts are scalable high-quality and aligned with the needs of our research and product teams.
You will collaborate closely with researchers data scientists ML engineers and vendor operations to drive the end-to-end lifecycle of large-scale data labeling and curation efforts - from strategy and planning to execution delivery and quality evaluation.
Requirements
-
Bachelors or Masters degree in a technical field (e.g. Computer Science Data Science Machine Learning Information Systems) or equivalent practical experience.
-
7 years of experience in technical program management project management or operations in data-centric or AI/ML environments.
-
Strong understanding of ML development workflows data pipelines and annotation lifecycle.
-
Experience managing large-scale data labeling or data collection efforts including working with third-party vendors.
-
Familiarity with big data platforms (e.g. Apache Spark Databricks Hadoop) and data warehousing concepts.
-
Excellent organizational problem-solving and communication skills with the ability to influence cross-functional stakeholders.
-
Proven track record of driving cross-functional teams to deliver complex technical projects on time and with high quality.
-
Excellent communication negotiation and analytical skills with the ability to document standard operating procedures and processes
-
Advanced working SQL Knowledge Ability to build and maintain analytics to track forecast and visualize consumption through ad-hoc SQL reports and dashboards
-
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
-
Self-motivated and able to work independently as well as in a team environment.
-
Preferred good working knowledge of GPU technology and its applications in generative AI and machine learning.
-
Familiarity with big data technologies such as Apache Spark Delta Lake and MLflow is a plus.
Job Title- Senior Technical Program Manager (AI/ML) Location- Mountain View CA United States 94041 Reporting Type- Onsite Duration: 11 Months W2 candidates only for this role Summary The Clients R&D Operations Organization is seeking a highly motivated and technically skilled Technical Progra...
Job Title- Senior Technical Program Manager (AI/ML)
Location- Mountain View CA United States 94041
Reporting Type- Onsite
Duration: 11 Months
W2 candidates only for this role
Summary
The Clients R&D Operations Organization is seeking a highly motivated and technically skilled Technical Program Manager (TPM) to lead and oversee data annotation programs that power our cutting-edge AI research initiatives. This role sits at the intersection of program management data operations and AI/ML and will play a pivotal part in ensuring that our data annotation efforts are scalable high-quality and aligned with the needs of our research and product teams.
You will collaborate closely with researchers data scientists ML engineers and vendor operations to drive the end-to-end lifecycle of large-scale data labeling and curation efforts - from strategy and planning to execution delivery and quality evaluation.
Requirements
-
Bachelors or Masters degree in a technical field (e.g. Computer Science Data Science Machine Learning Information Systems) or equivalent practical experience.
-
7 years of experience in technical program management project management or operations in data-centric or AI/ML environments.
-
Strong understanding of ML development workflows data pipelines and annotation lifecycle.
-
Experience managing large-scale data labeling or data collection efforts including working with third-party vendors.
-
Familiarity with big data platforms (e.g. Apache Spark Databricks Hadoop) and data warehousing concepts.
-
Excellent organizational problem-solving and communication skills with the ability to influence cross-functional stakeholders.
-
Proven track record of driving cross-functional teams to deliver complex technical projects on time and with high quality.
-
Excellent communication negotiation and analytical skills with the ability to document standard operating procedures and processes
-
Advanced working SQL Knowledge Ability to build and maintain analytics to track forecast and visualize consumption through ad-hoc SQL reports and dashboards
-
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
-
Self-motivated and able to work independently as well as in a team environment.
-
Preferred good working knowledge of GPU technology and its applications in generative AI and machine learning.
-
Familiarity with big data technologies such as Apache Spark Delta Lake and MLflow is a plus.
View more
View less