

Senior Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer in Plano, TX, offering a contract-to-hire position with a hybrid schedule. Key requirements include a degree in computer science or related field, AI/ML experience, and proficiency in Python, SQL, and machine learning frameworks.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
520
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ποΈ - Date discovered
July 2, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Plano, TX
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π§ - Skills detailed
#Azure #Spark (Apache Spark) #AWS (Amazon Web Services) #Data Science #Programming #Model Evaluation #Libraries #C++ #Computer Science #PyTorch #Datasets #ML (Machine Learning) #TensorFlow #Java #Python #PySpark #Data Analysis #AI (Artificial Intelligence) #Cloud #Code Reviews #Data Modeling #SQL (Structured Query Language)
Role description
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W2 Position.
Job Title: Data Scientist - Machine Learning Engineer
Location(s): Plano, TX 75024
Contract to Hire (Y/N): Potential Right to Hire
Hybrid Schedule: 3 days onsite
Key Responsibilities:
β’ Design and develop machine learning models and algorithms to address business challenges.
β’ Collaborate with data scientists and product managers to define AI/ML requirements and objectives.
β’ Implement and optimize AI/ML models in production environments.
β’ Conduct data analysis and preprocessing to prepare datasets for model training.
β’ Evaluate model performance and iterate on improvements.
β’ Stay up to date with the latest AI/ML research and technologies.
β’ Participate in code reviews and contribute to best practices in software development.
β’ Document AI/ML processes and methodologies for future reference.
Qualifications:
β’ Bachelorβs or Masterβs degree in computer science, Engineering, or a related field.
β’ Proven experience in software development with a focus on AI/ML.
β’ Strong programming skills in languages such as Python, Java, or C++.
β’ Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
β’ Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
β’ Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud) is a plus.
β’ Excellent problem-solving skills and attention to detail.
β’ Strong communication and teamwork abilities.
Skills (required):
β’ AI/ML Experience
β’ Python
β’ PySpark experience
β’ Data Modeling
β’ SQL
β’ Tanzer Flow