

Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in Dearborn, MI, with a contract length of unspecified duration. The pay rate is competitive. Key skills include GCP, Python, SQL, and experience with Generative AI and RAG systems. A Bachelor's degree is required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 28, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Dearborn, MI
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π§ - Skills detailed
#FastAPI #Python #Version Control #ML (Machine Learning) #Data Pipeline #GIT #Continuous Deployment #Data Engineering #Consulting #Data Manipulation #SQL (Structured Query Language) #Databases #API (Application Programming Interface) #Programming #Cloud #Data Quality #Docker #Data Ingestion #GCP (Google Cloud Platform) #Deployment #AI (Artificial Intelligence) #Scala #Big Data
Role description
Details:
Job Description
Stefanini Group is hiring!
Stefanini is looking for a Machine Learning Engineer, Dearborn, MI (Onsite)
For quick apply, please reach out Vasudha Lakshmi at 248-263-5273/vasudha.l@stefanini.com
You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions, with a particular emphasis on Retrieval-Augmented Generation (RAG) systems. This involves leveraging various AI techniques, including vector databases and robust API development frameworks like FastAPI, and ensuring efficient deployment through containerization and MLOps practices, to build intelligent applications that enhance user experience and automate complex processes.
Responsibilities
β’ Design, develop, and implement Generative AI models and applications, specifically focusing on building and optimizing RAG systems, including the integration and management of vector databases, using various technology stacks, with a preference for the OpenAI SDK.
β’ Apply fundamental Machine Learning concepts, including model fine-tuning, to improve the performance and accuracy of AI solutions, and deploy them via efficient APIs, such as those built with FastAPI, utilizing containerization for consistent environments.
β’ Perform data engineering tasks to prepare, process, and manage data pipelines essential for training, evaluating, and deploying Generative AI models, including data ingestion for vector databases, ensuring data quality and accessibility.
β’ Utilize advanced prompt engineering techniques to optimize interactions with large language models and achieve desired outputs and expose these capabilities through well-designed APIs. Collaborate with cross-functional teams to integrate AI solutions into existing products and services, ensuring scalability, reliability, and maintainability on cloud platforms, particularly Google Cloud Platform (GCP), adhering to MLOps principles and continuous integration/continuous deployment (CI/CD) practices.
Job Requirements
Details:
Experience Required
β’ GCP, Big Data, Artificial Intelligence & Expert Systems, API
β’ 3+ years of experience in software engineering with a focus on Generative AI, Machine Learning, or related AI fields.
β’ Experience deploying AI/ML models into production environments at scale.
β’ Previous experience in a large enterprise or fast-paced technology environment.
β’ Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
β’ Proven experience in building and deploying RAG systems, including the use of Vector Databases.
β’ Proficiency in Python programming.
β’ Solid experience with SQL for data manipulation and querying.
β’ Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML.
β’ Basic understanding and practical experience with Machine Learning model fine-tuning.
β’ Familiarity with data engineering concepts and practices.
β’ Expertise in prompt engineering techniques for interacting with LLMs.
β’ Experience with the OpenAI SDK.
β’ Experience developing robust APIs, preferably with FastAPI.
β’ Proficiency with version control systems (e.g., Git).
β’ Experience with containerization technologies (e.g., Docker).
Education Required
β’ Bachelor's Degree
β’ Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives
β’
β’
β’ 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.
Details:
Job Description
Stefanini Group is hiring!
Stefanini is looking for a Machine Learning Engineer, Dearborn, MI (Onsite)
For quick apply, please reach out Vasudha Lakshmi at 248-263-5273/vasudha.l@stefanini.com
You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions, with a particular emphasis on Retrieval-Augmented Generation (RAG) systems. This involves leveraging various AI techniques, including vector databases and robust API development frameworks like FastAPI, and ensuring efficient deployment through containerization and MLOps practices, to build intelligent applications that enhance user experience and automate complex processes.
Responsibilities
β’ Design, develop, and implement Generative AI models and applications, specifically focusing on building and optimizing RAG systems, including the integration and management of vector databases, using various technology stacks, with a preference for the OpenAI SDK.
β’ Apply fundamental Machine Learning concepts, including model fine-tuning, to improve the performance and accuracy of AI solutions, and deploy them via efficient APIs, such as those built with FastAPI, utilizing containerization for consistent environments.
β’ Perform data engineering tasks to prepare, process, and manage data pipelines essential for training, evaluating, and deploying Generative AI models, including data ingestion for vector databases, ensuring data quality and accessibility.
β’ Utilize advanced prompt engineering techniques to optimize interactions with large language models and achieve desired outputs and expose these capabilities through well-designed APIs. Collaborate with cross-functional teams to integrate AI solutions into existing products and services, ensuring scalability, reliability, and maintainability on cloud platforms, particularly Google Cloud Platform (GCP), adhering to MLOps principles and continuous integration/continuous deployment (CI/CD) practices.
Job Requirements
Details:
Experience Required
β’ GCP, Big Data, Artificial Intelligence & Expert Systems, API
β’ 3+ years of experience in software engineering with a focus on Generative AI, Machine Learning, or related AI fields.
β’ Experience deploying AI/ML models into production environments at scale.
β’ Previous experience in a large enterprise or fast-paced technology environment.
β’ Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
β’ Proven experience in building and deploying RAG systems, including the use of Vector Databases.
β’ Proficiency in Python programming.
β’ Solid experience with SQL for data manipulation and querying.
β’ Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML.
β’ Basic understanding and practical experience with Machine Learning model fine-tuning.
β’ Familiarity with data engineering concepts and practices.
β’ Expertise in prompt engineering techniques for interacting with LLMs.
β’ Experience with the OpenAI SDK.
β’ Experience developing robust APIs, preferably with FastAPI.
β’ Proficiency with version control systems (e.g., Git).
β’ Experience with containerization technologies (e.g., Docker).
Education Required
β’ Bachelor's Degree
β’ Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives
β’
β’
β’ 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.