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Contract Tensorflow Jobs in Georgia (NOW HIRING)

Hirekeyz Inc

Lead Engineer- Cloud Product

Alpharetta, GA · On-site

$100K - $131K/yr

Contract/W-2/Full Time * 5+ years of experience in cloud architecture (AWS / GCP / Azure) , with 4+ ... Experienced with modern ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.) and MLOps tools ...

Primus Software Corp

Python Developer IV

Alpharetta, GA · On-site

$49 - $67.50/hr

Python Developer / ONSITE 06 Months Contract to hire Work Location: Alpharetta, GA 30004 ... and TensorFlow. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

Contract Note: Notes: Need someone who has experience with Python programming, NumPy or Pandas and ... TensorFlow. * Be highly proficient in SQL and experienced in working with large-scale data ...

Workday

Principal AI Engineer - Evisort

Atlanta, GA · On-site

We build ground breaking AI technology that can read and understand contract language to make every ... TensorFlow * 6+ years of professional experience in building services to host machine learning ...

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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 Georgia? The most popular types of Tensorflow jobs in Georgia are:
What are popular job titles related to Contract Tensorflow jobs in Georgia? For Contract Tensorflow jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Contract Tensorflow jobs in Georgia look for? The top searched job categories for Contract Tensorflow jobs in Georgia are:
What cities in Georgia are hiring for Contract Tensorflow jobs? Cities in Georgia with the most Contract Tensorflow job openings:
Contract Tensorflow jobs near you

Data scientist with Python and AI/ML consultant.

Accord Technologies Inc.

Alpharetta, GA • On-site

Contractor

Posted 23 days ago

Job description

Title: Data Scientist with Python and AI/ML consultant.
Location: Alpharetta, GA (100% onsite)
Inperson interview required
Position type; W2 contract

We are looking for a talented Data Scientist with Python and AI/ML expertise to build predictive models, deploy machine learning solutions, and deliver advanced analytics across enterprise platforms. The role focuses on transforming data into actionable business insights using modern AI techniques.

Key Responsibilities

  • Develop and deploy machine learning models using Python.

  • Perform data exploration, feature engineering, and model evaluation.

  • Build AI/ML solutions for prediction, classification, NLP, and recommendation systems.

  • Work with large datasets using SQL, Pandas, NumPy, Spark.

  • Implement deep learning models using TensorFlow / PyTorch.

  • Develop NLP pipelines using spaCy, NLTK, HuggingFace.

  • Collaborate with product and engineering teams to operationalize models (MLOps).

  • Monitor model performance and retrain as required.

  • Create dashboards and presentations for stakeholders.

  • Support experimentation and A/B testing frameworks.

Required Skills

  • Strong proficiency in Python for data science and ML.

  • Experience with Scikit-learn, TensorFlow, PyTorch.

  • Strong knowledge of statistics, probability, and linear algebra.

  • Experience with SQL and big data tools (Spark, Hadoop).

  • Hands-on experience with NLP, computer vision, or recommendation systems.

  • Knowledge of MLOps, CI/CD for ML models.

  • Experience deploying models in cloud environments (AWS/Azure/GCP).