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Contract Tensorflow Jobs in California (NOW HIRING)

Contract Experience Level: 3-7 Years (Software Development) Key Responsibilities: * Demonstrate ... as TensorFlow, PyTorch, and Hugging Face Transformers. * Architect and implement Retrieval ...

Python developer

Fremont, CA · On-site

$55.25 - $76/hr

Perfict is a company seeking a Python Developer for a long-term contract position. The role ... TensorFlow, PyTorch, or Scikit-learn • Proficiency in data handling and manipulation using ...

Contract * 3-5 years of professional experience in an AI or Machine Learning engineering role ... Proven experience with one or more deep learning frameworks such as TensorFlow or PyTorch * Handson ...

Contract Experience: 10+ years in Software Engineering; 3+ years in AI/ML & Machine Learning ... ML libraries: scikit-learn, XGBoost, TensorFlow, PyTorch * Cloud platforms: GCP, AWS, Azure

Contract to Hire Project Overview: The Sr. Data Scientist will join the Personalization Data ... Proficiency in Python, TensorFlow, PyTorch, and/or PySpark. Ability to translate business needs and ...

Contract Key Responsibilities: * Develop and maintain ML pipelines using tools like MLflow ... g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and ...

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Contract Tensorflow information

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 jobs use Contract Tensorflow?

Jobs that use Contract TensorFlow typically include machine learning engineer, data scientist, AI developer, and research scientist roles. These positions involve developing, training, and deploying machine learning models using TensorFlow, often requiring skills in Python, deep learning, and cloud platforms. Contract roles may be project-based or temporary, focusing on specific AI or data analysis tasks.

What are the most commonly searched types of Tensorflow jobs in California?

The most popular types of Tensorflow jobs in California are:

What cities in California are hiring for Contract Tensorflow jobs?

Cities in California with the most Contract Tensorflow job openings:

Senior Data Scientist - AdTech (6-month Contract)

ProximityWorks

Palo Alto, CA • On-site

$150 - $210/hr

Other

Re-posted yesterday


Job description

Senior Data Scientist - AdTech (6-month Contract)

We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands‑on expertise in building, deploying, and optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible for driving data-driven solutions from experimentation to production, leveraging advanced tools and frameworks across Python, SQL, Spark, and AWS. The role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science.

Design, build, and deploy scalable machine learning models into production systems.

Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch).

Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training.

Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration.

Collaborate with engineering teams to integrate models into cloud-based applications on AWS.

Optimize query performance, storage usage, and data pipelines for efficiency.

Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment.

Drive initiatives independently with high ownership and accountability.

Stay up to date with industry best practices in machine learning, big data, and cloud-native deployments.

Requirements —What You Bring —

Minimum 5 years of experience in Data Science or Applied Machine Learning.

Strong proficiency in Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).

Proven expertise in deploying ML models into production systems.

Experience with big data platforms (Hadoop, Spark) and distributed data processing.

Hands-on experience with Databricks, Airflow, and AWS EMR.

Strong knowledge of AWS cloud services (S3, Lambda, SageMaker, EC2, etc.).

Solid understanding of query optimization, storage systems, and data pipelines.

Excellent problem‑solving skills, with the ability to design scalable solutions.

Strong communication and collaboration skills to work in cross‑functional teams.

Benefits —What you get —

Best-in-class salary: We hire strong talent and compensate accordingly.

Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.

Continuous learning: Work with a world‑class team and stay close to the latest in AI, engineering, and product development.

High‑impact work: Build AI‑first systems and products used at scale by global clients.

About us —

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high‑impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting‑edge technology at scale.

AI infrastructure for sports, media, and entertainment.

355 Bryant St, Suite 403, SanFrancisco, CA

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