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AI/ML Engineer

This role is for an AI/ML Engineer in Dearborn, MI (Hybrid) with a contract length of unspecified duration and a pay rate based on experience. Requires 5+ years in Data Engineering, AI/ML integration, ETL processes, and proficiency in cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 19, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Dearborn, MI
🧠 - Skills detailed
#Automation #Storage #Data Storage #Data Science #Computer Science #React #Database Systems #Data Engineering #Scala #MS SQL (Microsoft SQL Server) #Docker #SQL (Structured Query Language) #Databases #Consulting #TensorFlow #NLP (Natural Language Processing) #BigQuery #Deployment #Consul #Kafka (Apache Kafka) #Langchain #Talend #AI (Artificial Intelligence) #Kubernetes #Angular #Django #ML (Machine Learning) #NoSQL #Apache Kafka #Documentation #Cloud #Data Pipeline #"ETL (Extract #Transform #Load)" #MongoDB #PyTorch
Role description
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Details:

Job Description

Stefanini Group is hiring!

Stefanini is looking for an AI/ML Engineer, Dearborn, MI (Hybrid)

For quick apply, please reach out Pawan Singh at 248-213-3605/pawansingh.rawat@stefanini.com

This role will involve the development and maintenance of applications that can ingest data from multiple engineering systems in the backend and provide an AI/ML enabled web front end to provide predictive analytics, automation, and engineering insights.

Job Requirements

Details:

Experience Required
• At least 5 years of experience in Data Engineering with a focus on full stack development.
• Proven experience in developing applications with integrated AI/ML features.
• Work with databases for data storage, retrieval, and management tailored to AI/ML needs.
• Strong experience with ETL processes (e.g., using tools like Apache Kafka, Talend, or custom scripts).
• Knowledge of various database systems (SQL, NoSQL like MongoDB, Cassandra).
• Experience with data warehousing concepts and tools (e.g. Google BigQuery).
• Incorporate machine learning models into our applications to enhance functionality, including but not limited to natural language processing, image recognition, and predictive analytics.
• Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn for model development.
• Knowledge of chatbot development platforms like Dialogflow.
• Knowledge of frameworks like LangChain and Retrieval Augmented Generation (RAG).
• Design, develop, and maintain scalable and efficient web applications using modern frameworks (e.g., React, Angular for frontend; Node.js, Django for backend).
• Proficiency in at least one major cloud platform (Google Cloud preferred) for data storage, processing, and hosting AI services.
• Develop RESTful APIs to ensure seamless integration between frontend, backend, and external services.
• Basic understanding of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
• Continuously improve application performance through code refactoring, optimization of data pipelines, and tuning of machine learning models.

Experience Preferred
• Work closely with data scientists, product managers, and other developers to conceptualize and execute project requirements.
• Write unit and integration tests, manage CI/CD pipelines, and ensure smooth deployments to production environments.
• Maintain clear documentation for systems, services, and models to support future maintenance and development.

Education Required
• Bachelors/Masters degree in computer science, Information Technology, or related fields with a special focus on Data Engineering and AI/ML.

Education Preferred
• Certifications in AI/ML like Google's Professional Machine Learning Engineer are optional but beneficial.
• 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 CMM Level 5 company