AI Engineer/Developer (W2)

Miracle Software Systems, Inc

Dearborn (MI)

On-site

USD 112,597 - 152,810

Full time

14 days+

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Job summary

A leading technology company is seeking an experienced AI Engineer/Developer to enhance their Purchasing operations through AI-driven solutions. The ideal candidate will have extensive experience in data science, machine learning, and programming, with a strong ability to collaborate with stakeholders to address diverse business needs. Responsibilities include developing AI models, preprocessing complex datasets, and automating business processes, contributing significantly to the organization's technology initiatives.

Qualifications

8+ years of experience as a Data Scientist or similar role.
Strong proficiency in Python and machine learning techniques.
Experience with data visualization tools like Tableau and Power BI.

Responsibilities

Develop AI enhancements for the Purchasing PDO team.
Collect and preprocess large datasets for analysis.
Monitor and iterate on model performance in production.

Skills

Data manipulation and analysis

Machine Learning algorithms

Deep learning frameworks

Programming in Python

SQL

Data visualization

Communication skills

Education

Bachelor's or Master's in Computer Science, Statistics, Mathematics

Tools

pandas

NumPy

TensorFlow

PyTorch

Tableau

Power BI

Job description

Direct message the job poster from Miracle Software Systems, Inc

Lead HCM Executive at Miracle Software Systems, Inc.

We Miracle Software Systems is looking for the AI Engineer/Developer on W2

Role: AI Engineer/Developer (10+ Years)

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. • 8+ 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, 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.

Experience Required:

4+ years of experience working as a Data Scientist, AI/ML Developer or in a similar role

Seniority level