Vice President-Applied AI ML Lead
Vice President-Applied AI ML Lead
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Join us in shaping the future of datadriven decisionmaking. As a Lead Data Science and Modeling Specialist you will have the opportunity to lead impactful projects collaborate with diverse teams and drive innovation in AI/ML solutions. Your expertise will help us unlock new insights and deliver exceptional value to our business partners.
As a Vice President Applied AI/ML Lead in our Data Science and Modeling team you will have the opportunity to lead impactful projects collaborate with diverse teams and promote innovation in AI/ML solutions. Your expertise will help us unlock new insights and deliver exceptional value to our business partners. You will spearhead data science engagements from conception to deployment collaborating with business governance and tech stakeholders to articulate clear business use cases and deliver highquality machine learning models. Your role is pivotal in optimizing existing models ensuring highquality data input and providing technical guidance to global team members.
Job Responsibilities:
- Lead endtoend data science projects interfacing with various stakeholders.
- Develop and deploy highquality machine learning models and services.
- Optimize and maintain AI/ML models for improved performance and accuracy.
- Conduct data analysis and preprocessing for model training.
- Manage project prioritization and lead technology meetings with stakeholders.
- Participate in code reviews and foster a culture of continuous improvement.
- Provide technical guidance and mentorship to global team members.
Required qualifications capabilities and skills:
- M.S. degree in Statistics Engineering Computer Science or Mathematics.
- 7 years of experience in developing statistical or machine learning models.
- 5 years of experience with AI including reinforcement learning or optimization algorithms.
- Proficient in Java or Python programming.
- Deep knowledge of data structures algorithms machine learning and statistics.
- Expertise in at least one area: NLP Computer Vision Ranking and Recommendation or Time Series Analysis.
- Familiarity with machine learning frameworks like ScikitLearn TensorFlow PyTorch etc.
- Experience with LLM usage integration and custom model finetuning.
- Experience with ETL data pipelines and data warehousing.
- Proficiency in SQL and NoSQL platforms for data mining and analysis.
- Strong analytical and critical thinking skills and excellent communication skills and a team player.
Preferred qualifications capabilities and skills:
- Experience with cloud computing platforms: Azure Google Cloud AWS.
- Knowledge of distributed system design including microservices and messaging systems.
Required Experience:
Chief
Employment Type
Full-Time
