AI/ML Engineer

Details: Job Description Stefanini Group is hiring! Stefanini is looking for an AI/ML Engineer, Dearborn, MI (Hybrid) For quick apply, please reach out Saurabh Kapoor at 248-582-6559/saurabh.kapoor@stefanini.com Looking for a skilled AI/ML Engineer to develop and enhance purchasing processes through advanced data analysis, deep learning models, and supplier-focused functional innovations, while collaborating with stakeholders to solve business challenges efficiently. Responsibilities • 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 client . • 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. Job Requirements Details: Experience Required • 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). Experience Preferred • Experience with big data technologies (e.g., Spark, Hadoop, Hive). • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) 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. Education Required: • Bachelor's, Master's, in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. • Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives • • • Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process, including interviews and job offers. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.