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Contract Tensorflow Jobs in Oregon (NOW HIRING)

Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level ... PyTorch/TensorFlow) Experience with time-series data analysis and anomaly detection Hands-on ...

Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level ... TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on ...

Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level ... TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on ...

Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level ... TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on ...

Adapts instruction using Python with TensorFlow or PyTorch, interactive notebooks, and real-world ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Contract Tensorflow information

Which 5 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as contract TensorFlow roles involving AI model development, data science, software engineering, AI research, and machine learning engineering, are likely to persist. These roles demand specialized skills, continuous learning, and adaptability to evolving AI tools and frameworks.

What has replaced TensorFlow?

For a Contract TensorFlow role, there is no single direct replacement, but alternatives like PyTorch have gained popularity in machine learning and deep learning projects. Many organizations now adopt PyTorch or other frameworks depending on project requirements, and knowledge of multiple tools can be beneficial for such roles.

What kind of jobs use TensorFlow?

Jobs that use TensorFlow typically include machine learning engineer, data scientist, AI researcher, and deep learning developer roles. These positions involve developing, training, and deploying neural network models for tasks such as image recognition, natural language processing, and predictive analytics, often requiring knowledge of Python and related frameworks.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Contract TensorFlow developers, tend to offer high salaries due to the specialized skills required, such as programming in Python and experience with frameworks like TensorFlow. Compensation varies based on experience, location, and project complexity, but generally, ML jobs are among the higher-paying roles in the tech industry.

What is the difference between Contract Tensorflow vs Contract Machine Learning Engineer?

AspectContract TensorflowContract Machine Learning Engineer
Required CredentialsProficiency in TensorFlow, Python, ML conceptsProficiency in ML frameworks, Python, data analysis
Work EnvironmentProject-based, remote or on-site, tech companiesProject-based, tech or research firms, collaborative teams
Employer & Industry UsageTech companies, startups, AI-focused firmsTech companies, consulting firms, research institutions
Search & Comparison IntentUnderstanding TensorFlow-specific roles, contract workBroader ML roles, contract opportunities in ML

Contract Tensorflow roles focus specifically on implementing and optimizing models using TensorFlow, requiring expertise in this framework. Contract Machine Learning Engineer positions encompass a wider range of ML tools and techniques, often including TensorFlow but also other frameworks. Both roles are project-based, typically in tech environments, but Contract Tensorflow is more specialized in deep learning with TensorFlow.

What are the most commonly searched types of Tensorflow jobs in Oregon? The most popular types of Tensorflow jobs in Oregon are:

Machine Learning Engineer

Chabez Tech

Portland, OR

Contractor

Posted 28 days ago


Job description

Job Description

Job Title: Machine Learning Engineer
Location: Portland, OR - Onsite (Local only / F2F interview)
Duration: 24 Months Contract

Experience Level: 5+ years of experience

Required Qualifications
    Bachelor's or master's degree in computer science, Machine Learning, Electrical Engineering, or related field 
    5+ years of experience in machine learning, data science, or AI engineering 
    Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) 
    Experience with time-series data analysis and anomaly detection 
    Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) 
    Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) 
    Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) 
    Experience deploying ML models in production systems 
    Strong problem-solving skills and ability to work with complex, real-world datasets

Preferred Qualifications
    Experience with fault tree analysis (FTA), reliability engineering, or failure analysis 
    Background in industrial systems, semiconductors, manufacturing, or IoT environments 
    Experience with graph-based ML / Graph Neural Networks (GNNs) 
    Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams) 
    Experience with vector databases, RAG systems, or LLM-based reasoning 
    Knowledge of MLOps practices (CI/CD, monitoring, model governance) 
    Experience working in air-gapped or high-security environments 
 

Additional Information

All your information will be kept confidential according to EEO guidelines.