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Junior Ai Machine Learning Python Jobs in Troy, MI

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

... AI engineers. Skills RequiredTechnical Communication, Communications, Google Cloud Platform ... Java, Python, Spark, Scala, SQL 3 years of cloud data/software engineering experience building ...

In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior ... Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior ... Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or ...

... Python. * Mastery of Deep Learning fundamentals and statistics underlying Machine Learning ... Publications in AI/ML journals or conferences. Equal Employment Opportunity (EEO) Policy Eccalon ...

They automate and optimize the end-to-end ML and Gen AI model lifecycle using expertise in ... Proficiency in Python programming. Solid experience with SQL for data manipulation and querying.

... skills in Python and at least one additional language (Java, C++, or JavaScript). * Hands-on experience integrating AI/ML models into software applications. * Experience with machine learning ...

... junior engineers, lead code reviews, and drive engineering best practices • Engage client ... Solutions Architect, Data Analytics, or Machine Learning Specialty • Document intelligence: AWS ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

... Python, Java, C#, JavaScript) * Define and enforce coding standards, best practices, and design ... AI / Machine Learning Development * Design, develop, and train machine learning and deep learning ...

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Junior Ai Machine Learning Python information

See Troy, MI salary details

$44.1K

$89.6K

$134.6K

How much do junior ai machine learning python jobs pay per year?

As of Jun 7, 2026, the average yearly pay for junior ai machine learning python in Troy, MI is $89,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $90,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Junior Ai Machine Learning Python jobs in Troy, MI look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Troy, MI are:
What cities near Troy, MI are hiring for Junior Ai Machine Learning Python jobs? Cities near Troy, MI with the most Junior Ai Machine Learning Python job openings:
Machine Learning Engineering Senior Engineer

Machine Learning Engineering Senior Engineer

FastTek

Dearborn, MI

$96K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Machine Learning Engineering Senior Engineer #1056751
Position Description:
  • ML Ops
  • Build scalable and robust ML data pipelines in the cloud to process large volumes of connected vehicle data to support our agentic initiatives.
  • Optimize existing ML solutions for performance, security, and cost-effectiveness
  • Utilize continual learning methods to continuously improve model performance Other
  • Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.
  • Build data pipelines to monitoring quality of data and performance of analytical models and agentic solutions.
  • Maintain the infrastructure of the data platform using terraform and continuously develop, evaluate, and deliver code using CI/CD.
  • Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process.
  • Implement an enterprise data governance model and actively promote the concept of data - protection, sharing, reuse, quality, and standards.
  • Enhance and maintain the DevOps capabilities of the data platform.
  • Continuously optimize and enhance existing data solutions (pipelines, products, infrastructure) for best performance, high security, low vulnerability, low costs, and high reliability.
  • Work in an agile product team to deliver code frequently using Test Driven Development (TDD), continuous integration and continuous deployment (CI/CD).
  • Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle.
  • Perform any necessary data mapping, data lineage activities and document information flows.
  • Monitor the production pipelines and provide production support by addressing production issues as per SLAs.
  • Provide analysis of connected vehicle data to support new product developments and production vehicle improvements.
  • Provide visibility to data quality/vehicle/feature issues and work with the business owners to fix the issues.
  • Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.
  • Continuously enhance your domain knowledge of connected vehicle data, connected services and algorithms/models/solutions developed by data scientists and AI engineers.
  • Stay current on the latest data engineering practices and contribute to the technical direction of the company while keeping a customer-centric approach.

Skills Required:
Technical Communication, Communications, Google Cloud Platform, TensorFlow, Data Governance, Machine Learning, Python, Artificial Intelligence & Expert Systems, GitHub, Tekton, Docker, Jira, Microservices, Data Architecture, Agile Software Development, SQL, Java, Spark, Cloud Architecture, Apache Kafka, REST APIs
  • Technical Communication - This person will need to describe clearly the ML/AI Ops needs and strategy to colleagues potentially up to executives across a wide cross section of people from very knowledge to not technically knowledgeable in this area.
  • Communications - In addition to the technical communication needed, this person will need to be a great communicator to work with people in other organizations who are stakeholders and we need to work together and not have there be communication gaps
  • Google Cloud Platform - Deep knowledge of how to implement ML / AI Ops in the GCP Platform specifically is required
  • TensorFlow
  • Data Governance - This role will need to implement an enterprise data governance model and actively promote the concept of data - protection, sharing, reuse, quality, and standards.
  • Machine Learning - We need an ML Ops expert
  • Python - Some of the ML Ops pipeline will likely need to be setup using this code
  • Artificial Intelligence & Expert Systems - The ML Ops pipeline needs to be set up for AI Agentic Solutions in mind as well.
  • GitHub - This is where our code will reside, so this is needed SEE 10 TO 21 IN ADDITION INFORMATION

Skills Preferred:
Telematics, Machine Learning, Data Modeling, Cloud Infrastructure, Data Mining, Database Design, Troubleshooting (Problem Solving), Labor Supervision
  • Telematics - Knowledge of this is nice, as some of our data will be Telematics data
  • Machine Learning
  • Data Modeling - In order to understand how the data will interact with the ML Operations.
  • Cloud Infrastructure
  • Data Mining
  • Database Design
  • Troubleshooting (Problem Solving)
  • Labor Supervision - Will need to mentor and advise junior team members to spread ML Ops expertise across the organization

Experience Required:
  • Master's degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6+ years with Bachelor's Degree).
  • 4 years of professional experience in:
    • Data engineering, data product development and software product launches
    • At least three of the following languages: Java, Python, Spark, Scala, SQL
  • 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using:
    • Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery. o Workflow orchestration tools like Airflow.
    • Relational Database Management System like MySQL, PostgreSQL, and SQL Server.
    • Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub
    • Microservices architecture to deliver large-scale real-time data processing application.
    • REST APIs for compute, storage, operations, and security.
    • DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker.
    • Project management tools like Atlassian JIRA. Even better if you have...

Experience Preferred:
  • D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a related field.
  • 2 years of experience with ML Model Development and/or MLOps.
  • Committed code to improve open-source data/software engineering projects
  • Experience architecting cloud infrastructure and handling application migrations/upgrades.
  • GCP Professional Certifications.
  • Demonstrated passion to mine raw data and realize its hidden value.
  • Passion to experiment/implement state of the art data engineering methods/techniques.
  • Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.
  • Experience implementing methods for automation of all parts of the pipeline to minimize labor in development and production.
  • Analytics skills to profile data, troubleshoot data pipeline/product issues.
  • Ability to simplify, clearly communicate complex data/software ideas/problems and work with cross-functional teams and all levels of management independently.
  • Ability to mentor and advise junior team members

Education Required:
  • Bachelor's Degree

Education Preferred:
  • Master's Degree

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.