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Data Scientist at Ford Motor Company
Chennai, tamil nadu, India -
Full Time

Start Date

Immediate

Expiry Date

18 Oct, 26

Salary

0.0

Posted On

20 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Generative AI, Large Language Models, Python, TensorFlow, PyTorch, Google Cloud Platform, Vertex AI, BigQuery, MLOps, RAG Architectures, Prompt Engineering, Statistics, Econometrics, Optimization, Distributed Computing

Industry

Motor Vehicle Manufacturing

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 real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based 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 possess extensive hands-on experience in applying first principles methods, machine learning, and advanced AI methodologies, including generative models, Large Language Models (LLMs), and multimodal AI techniques, to develop innovative prototypes and solutions that operate on massive datasets. Candidates must be adept at manipulating both structured and unstructured data in various formats, sizes, and storage mechanisms. We seek individuals with excellent problem-solving skills and an inquisitive mind, eager to challenge existing practices and explore new frontiers in AI. Flexibility in utilizing a diverse range of programming languages and analytical tools is essential for tackling complex problems.
Responsibilities
Develop scalable solutions to complex real-world problems using Machine Learning, Big Data, and advanced AI methodologies. Drive evidence-based decision making by providing data-driven insights across various domains like Connected Vehicle and Supply Chain.