ZipRecruiter

Log In

1

Machine Learning Engineer Ts Sci Jobs in Michigan

Tech Consulting

Be Seen First

Machine Learning Engineer

Michiana, MI · On-site

$30 - $40/hr

Entry-Level AI / Machine Learning Engineer Full-Time Candidate must be open to relocate Job Summary We are looking for an enthusiastic and motivated Entry-Level AI/Machine Learning Engineer to join ...

New

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

Corning

As a Machine Learning Engineer, you will work within a collaborative technical team to build, deploy, monitor, and maintain machine learning solutions that create measurable business value. You will ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning systems that control our mineral refining facilities. You'll start with well-scoped problems inside our ...

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for a candidate who is responsible for predicting and/ or ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language ...

3B Staffing LLC

Machine learning Engineer

Warren, MI · On-site

Machine Learning Engineer Location : Warren,MI Duration: Fulltime * Develop and deploy machine learning models that process and analyze IoT (Internet of Things) signal data. Work with large-scale ...

New

3B Staffing LLC

Machine learning Engineer

Warren, MI · On-site

Machine Learning Engineer Location : Warren,MI Duration: Fulltime * Develop and deploy machine learning models that process and analyze IoT (Internet of Things) signal data. Work with large-scale ...

New

Stellantis

Machine Learning Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO) . This role will leverage ...

3B Staffing LLC

Machine Learning Engineer

Warren, MI · On-site

Machine Learning Engineer Location : Warren, MI / Mountain View, CA Duration: Fulltime Must Have Technical/Functional Skills • Assist in fine-tuning VLA (Vision-Language Alignment) models for ...

New

3B Staffing LLC

Machine Learning Engineer

Warren, MI · On-site

Machine Learning Engineer Location : Warren, MI / Mountain View, CA Duration: Fulltime Must Have Technical/Functional Skills • Assist in fine-tuning VLA (Vision-Language Alignment) models for ...

New

Corning

$95K - $130K/yr

As a Senior Machine Learning Engineer, you will design, deploy, maintain, and improve robust machine learning systems that support manufacturing and other business functions. You will help translate ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Ts Sci JobsMachine Learning Engineer Ts Sci Jobs in Michigan

Machine Learning Engineer Ts Sci information

What is a machine learning engineer TS SCI?

Machine Learning Engineer TS/SCI positions are specialized roles where engineers design, develop, and implement machine learning models and systems, often for government or defense projects that require a Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance. These professionals work on advanced AI algorithms, data processing, and secure software, ensuring that sensitive information is protected throughout the process. They collaborate with data scientists, software developers, and security experts to solve complex problems using data-driven approaches while adhering to strict security protocols.

What are the key skills and qualifications needed to thrive as a machine learning engineer TS SCI?

To thrive as a Machine Learning Engineer with TS/SCI clearance, you need strong skills in machine learning algorithms, programming (Python, R), data analysis, and a relevant degree in computer science or a related field, along with active TS/SCI security clearance. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure), and knowledge of secure data handling are commonly required. Excellent problem-solving, teamwork, and clear communication are vital soft skills for collaborating on complex, sensitive projects. These skills ensure effective development of secure, high-impact AI solutions in environments where data protection and analytical precision are critical.

What are some common challenges faced by machine learning engineers with TS SCI in day-to-day work?

Machine Learning Engineers with TS/SCI clearance often encounter unique challenges, such as working with highly sensitive data in secure environments, which can limit access to certain tools or cloud resources. Collaboration is often restricted to cleared team members, and sharing findings externally is not permitted. Additionally, projects may have ambiguous requirements due to their classified nature, requiring strong problem-solving skills and adaptability. However, these roles offer the chance to work on impactful projects with significant national security implications, providing both technical and professional growth.

What is the difference between Machine Learning Engineer Ts Sci vs Data Scientist?

AspectMachine Learning Engineer Ts SciData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; certifications in ML or AIBachelor's or Master's in Statistics, Data Science, or related fields; certifications in data analysis or visualization
Work EnvironmentDevelops and deploys ML models, often in production environmentsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI firms, R&D departmentsFinance, healthcare, marketing, and tech sectors

While both roles require strong analytical skills and knowledge of machine learning, Machine Learning Engineer Ts Sci focuses on developing and deploying scalable ML models, whereas Data Scientists primarily analyze data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

What are popular job titles related to Machine Learning Engineer Ts Sci jobs in Michigan? For Machine Learning Engineer Ts Sci jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Ts Sci jobs in Michigan look for? The top searched job categories for Machine Learning Engineer Ts Sci jobs in Michigan are:
What cities in Michigan are hiring for Machine Learning Engineer Ts Sci jobs? Cities in Michigan with the most Machine Learning Engineer Ts Sci job openings:
Machine Learning Engineer Ts Sci jobs near you

Machine Learning Engineer

Tech Consulting

Michiana, MI • On-site

$30 - $40/hr

Full-time

Medical, Dental, PTO

Posted yesterday

New

Be Seen First

After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.

Job description

Entry-Level AI / Machine Learning Engineer

Full-Time

Candidate must be open to relocate


Job Summary

We are looking for an enthusiastic and motivated Entry-Level AI/Machine Learning Engineer to join our team. The ideal candidate has a strong foundation in Python, machine learning, data analysis, and AI concepts, with a willingness to learn and work on real-world projects.


Key Responsibilities

  • Develop, train, and evaluate machine learning models.
  • Clean, preprocess, and analyze structured and unstructured datasets.
  • Implement supervised and unsupervised machine learning algorithms.
  • Assist in developing AI solutions using Python and popular ML libraries.
  • Perform model testing, optimization, and performance evaluation.
  • Work with senior engineers and data scientists to solve technical problems.
  • Create data visualizations and reports to communicate model results.
  • Research emerging AI and machine learning techniques.
  • Document code, experiments, and project findings.
  • Assist with deploying machine learning models into production environments.


Required Skills

  • Basic knowledge of Python and programming fundamentals.
  • Understanding of machine learning concepts and algorithms.
  • Familiarity with NumPy, Pandas, Scikit-learn, and data visualization tools.
  • Basic understanding of statistics and probability.
  • Familiarity with SQL and databases.
  • Understanding of model evaluation metrics such as accuracy, precision, recall, and F1-score.
  • Knowledge of Git/GitHub.
  • Strong problem-solving and analytical skills.


Good to Have

  • Exposure to TensorFlow or PyTorch.
  • Basic knowledge of deep learning and neural networks.
  • Familiarity with NLP, computer vision, or generative AI.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Academic, personal, internship, or GitHub projects involving AI/ML.


Education

Bachelor's degree or equivalent coursework in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field.

Recent graduates and candidates with relevant projects are encouraged to apply.


Experience Level

1-4 years of experience.

Internship, academic, and personal AI/ML projects are considered relevant experience.


Thanks