

Optimal Staffing
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a PhD in a relevant field, 1–2 years of experience in machine learning and image processing, proficiency in Python and TensorFlow, and a strong understanding of computer vision techniques. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 3, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Warren, MI
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🧠 - Skills detailed
#Computer Science #Deep Learning #TensorFlow #Image Processing #AI (Artificial Intelligence) #ML (Machine Learning) #Python #Statistics #Datasets
Role description
Job Summary:
We are seeking a highly motivated Machine Learning Engineer with a strong background in machine learning and image processing. This role is ideal for a recent PhD graduate (or near completion) from a reputable university who is passionate about developing advanced algorithms and working on cutting-edge research and applied solutions. University research experience will be considered valuable professional experience
.
Key Responsibilitie
• s:
Develop, implement, and optimize machine learning models with a focus on image processing and computer vision applicatio
• ns.Design and conduct experiments, analyze results, and translate research findings into practical solutio
• ns.Work with large datasets for model training, validation, and performance improveme
• nt.Collaborate with cross-functional teams to integrate models into production environmen
• ts.Document methodologies, research findings, and technical approaches clearly and effective
ly.
Required Qualificati
• ons:
PhD in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field from a reputable univer
• sity.1–2 years of experience in machine learning and image processing (academic research experience accepta
• ble).Strong understanding of computer vision techniques and deep learning architect
• ures.Proficiency in Python and common ML frameworks such as TensorFlow or PyT
• orch.Solid foundation in statistics, linear algebra, and optimization techni
ques.
Preferred Qualifica
• tions:
Published research in machine learning, computer vision, or related d
• omains.Experience deploying ML models in real-world applic
• ations.Familiarity with GPU computing and performance optimi
zation.
Job Summary:
We are seeking a highly motivated Machine Learning Engineer with a strong background in machine learning and image processing. This role is ideal for a recent PhD graduate (or near completion) from a reputable university who is passionate about developing advanced algorithms and working on cutting-edge research and applied solutions. University research experience will be considered valuable professional experience
.
Key Responsibilitie
• s:
Develop, implement, and optimize machine learning models with a focus on image processing and computer vision applicatio
• ns.Design and conduct experiments, analyze results, and translate research findings into practical solutio
• ns.Work with large datasets for model training, validation, and performance improveme
• nt.Collaborate with cross-functional teams to integrate models into production environmen
• ts.Document methodologies, research findings, and technical approaches clearly and effective
ly.
Required Qualificati
• ons:
PhD in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field from a reputable univer
• sity.1–2 years of experience in machine learning and image processing (academic research experience accepta
• ble).Strong understanding of computer vision techniques and deep learning architect
• ures.Proficiency in Python and common ML frameworks such as TensorFlow or PyT
• orch.Solid foundation in statistics, linear algebra, and optimization techni
ques.
Preferred Qualifica
• tions:
Published research in machine learning, computer vision, or related d
• omains.Experience deploying ML models in real-world applic
• ations.Familiarity with GPU computing and performance optimi
zation.






