Overview
Skills
Job Details
Position: AI/ML Consultant- 322160 Location: Dearborn MI (Hybrid-2 days onsite/W) Duration: 12+ months MOI: MS Teams & WebEx Direct Client: FORD MOTORS
"Position Description:
Responsible for developing AI related enhancements for Purchasing PDO team and proficient in managing supplier related functional enhancements infusing AI to the processes.
Collect, clean, and preprocess large and complex datasets from various sources.
Applying various Deep learning networks, statistical techniques, explore and experiment on new models through research papers or via various frameworks.
Understanding, transforming large scale data to usable form for modelling, filtering data with generalization for later use, Cross-validating models for the requirements.
Interact with internal stakeholders to understand the business problems and automate / solve widely varying Purchasing business needs within 1-2 weeks from beginning of requirement to delivery.
Recommend and justify the algorithms to implement for the problems at-hand.
Enhance deep learning networks with multi-GPU and multi-node capabilities.
Supplier relationship framework assessment and build a survey to integrate with GDIA.
Perform exploratory data analysis (EDA) to understand data characteristics, identify patterns, and formulate hypotheses.
Design and execute A/B tests or other experimental designs to evaluate the impact of new features or strategies.
Monitor model performance in production and iterate on models to improve accuracy and efficiency.
Stay up to date with the latest research and developments in data science, machine learning, and related fields, and evaluate their potential application.
Help IT teams to develop a quick proof-of-concept to validate the concept and establish feasibility.
Skills Required:
Bachelor's, Master's, in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
4+ years of experience working as a Data Scientist or in a similar role.
Strong proficiency in at least one major programming language used in data science (Python, Java, R).
Proven experience in developing and implementing solutions using Large Language Models (LLMs) and core Machine Learning techniques.
Solid experience with data manipulation and analysis libraries (e.g., pandas, NumPy in Python; dplyr, data.table in R).
Expertise in SQL for querying and manipulating databases.
Demonstrated experience developing and applying various machine learning algorithms (e.g., regression, classification, clustering, tree-based methods, ensemble methods).
Understanding of statistical concepts and their application (hypothesis testing, confidence intervals, experimental design).
Experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly in Python; ggplot2 in R; Tableau, Power BI).
Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
Strong problem-solving skills and the ability to think critically and creatively.
Skills Preferred:
Experience with big data technologies (e.g., Spark, Hadoop, Hive).
Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform) and their data/ML services.
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
Experience deploying machine learning models into production environments. Knowledge of Automotive supply chain process.
Experience with MLOps practices and tools.
Contributions to open-source projects or publications in relevant fields.
Experience Required:
7+ years of experience working as a Data Scientist, AI/ML Developer or in a similar role.
Education Required:
Bachelor's, Master's, in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
Education Preferred:
Additional Safety Training/Licensing/Personal Protection Requirements:
Additional Information :
Hybrid or remote. 2 days/week (15 days a quarter) Full Stack Back End Java Required"