Deputy Manager
Deputy Manager
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Job Description
The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex realworld problems using Machine Learning Big Data Statistics Econometrics and Optimization. The goal of GDI&A is to drive evidencebased decision making by providing insights from data. Applications for GDI&A include but are not limited to Connected Vehicle Smart Mobility Advanced Operations Manufacturing Supply chain Logistics and Warranty Analytics.
Potential candidates should have handson experience in applying first principles methods machine learning data mining and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python expertise in Entity extraction document classification Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like Linear Regression Decision Trees SVM. KNN Gradient Boost Random Forest etc.
Proficiency in cloud platforms like GCP including experience with deploying AI applications.
Solid programming skills in Python and experience with relevant libraries and frameworks (e.g. TensorFlow PyTorch scikitlearn).
Proven track record of delivering successful GenAI projects and driving business impact.
Strong understanding of text preprocessing & normalization techniques such as tokenization
Excellent communication presentation and documentation skills.
Strong problemsolving abilities and a proactive attitude towards learning and adopting new technologies.
Responsibilities
- Build datadriven models to understand the characteristics of engineering systems
- Apply machine learning data mining and text mining techniques to create scalable solutions for business problems
- Train tune validate and monitor predictive models
- Analyze and extract relevant information from large amounts of historical business data especially related to quality product development and connected vehicles both in structured and unstructured formats
- Establish scalable efficient automated processes for large scale data analyses
- Package and present the findings and communicate with large crossfunctional teams
Qualifications
- BE M.S. or Ph.D. in Engineering Computer Science Operations research Statistics Applied mathematics or in a related field
- 5 years of experience in at least one of the following languages: Python R
- 5 years of handson experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees Random forests Support vector machines Deep Learning Neural networks Reinforcement learning and other numerical algorithms
- 1 years of experience in developing LLM solutions for Enterprise
- Experience with GoogleCloud Platform (GCP) including VertexAI BigQuery DBT NoSQL database and Hadoop Ecosystem
Excellent problem solving communication and data presentation skills
Required Experience:
Manager
Employment Type
Full-Time
