Miracle Software
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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
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
Information Technology Industries
Software Development and Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Miracle Software Systems, Inc by 2x Sign in to set job alerts for Artificial Intelligence Engineer roles.
Python ML Engineer with GCP(W2 Position)
Perception Machine Learning Engineer - Autonomous Driving
Data Engineer III+ (Analytics - MS Data Fabric - Focus)
Detroit, MI $112,597.33-$152,810.66 1 month ago Pontiac, MI $140,000.00-$160,000.00 2 weeks ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Data Scientist - Analytics Center of Excellence
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Generative AI Developer-Microsoft Stack (Python)
Data Scientist, Vehicle Engineering, Testing, Reliability
Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
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
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
Information Technology Industries
Software Development and Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Miracle Software Systems, Inc by 2x Sign in to set job alerts for Artificial Intelligence Engineer roles.
Python ML Engineer with GCP(W2 Position)
Perception Machine Learning Engineer - Autonomous Driving
Data Engineer III+ (Analytics - MS Data Fabric - Focus)
Detroit, MI $112,597.33-$152,810.66 1 month ago Pontiac, MI $140,000.00-$160,000.00 2 weeks ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Data Scientist - Analytics Center of Excellence
Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics
Generative AI Developer-Microsoft Stack (Python)
Data Scientist, Vehicle Engineering, Testing, Reliability
Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr