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Tensorflow Jobs (NOW HIRING)

Expertise in PyTorch or TensorFlow, plus libraries like Scikit-learn, Keras, and Hugging Face. Ollma. Data Handling: Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools. Generative AI LLMs:

Go deep into PyTorch, JAX, and TensorFlow to push beyond what's out of the box. * Trading systems. Develop a genuine understanding of how futures markets operate, not just the ML layer on top. Who ...

AI Architect

Houston, TX · On-site

$90/hr

... TensorFlow, PyTorch, scikit-learn). • Proficiency in data manipulation and analysis using SQL and data processing tools (e.g., Apache Spark, Hadoop). • Experience with cloud platforms (e.g., AWS ...

Python Developer, Node Exp.

Tampa, FL · On-site

$45.75 - $63/hr

Expertise in PyTorch or TensorFlow, plus libraries like Scikit-learn, Keras, and Hugging Face. Ollma. Data Handling: Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools. Generative AI LLMs:

PyTorch, TensorFlow, Scikit-learn * LangChain, OpenAI APIs, Hugging Face * Retrieval Augmented Generation (RAG) * AI Agents & Copilot Development * MLOps, CI/CD, Model Monitoring * Azure, AWS, or ...

Python Developer

Edison, NJ · On-site

$51 - $70.25/hr

Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages. * Proficiency with tools and LLMs. * Ability to work independently and collaboratively ...

Python Developer

Tampa, FL · On-site

$45.75 - $63/hr

Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages. * Proficiency with tools and LLMs. * Ability to work independently and collaboratively ...

Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch, scikit-learn, or XGBoost. * Implement models in production environments using MLOps best practices (e.g ...

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX . * Develop clean training pipelines with data loading, checkpointing, logging, validation, and experiment ...

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX . * Develop clean training pipelines with data loading, checkpointing, logging, validation, and experiment ...

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: · Design and implement scalable data pipelines for large-scale ...

Design, build, train, and evaluate AI/ML models using Python, TensorFlow, PyTorch, or JAX . * Develop clean training pipelines with data loading, checkpointing, logging, validation, and experiment ...

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Tensorflow information

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$37.5K

$122.7K

$196.5K

How much do tensorflow jobs pay per year?

As of Jul 7, 2026, the average yearly pay for tensorflow in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the Tensorflow position, and why are they important?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

More about Tensorflow jobs
What cities are hiring for Tensorflow jobs? Cities with the most Tensorflow job openings:
What are the most commonly searched types of Tensorflow jobs? The most popular types of Tensorflow jobs are:
What states have the most Tensorflow jobs? States with the most job openings for Tensorflow jobs include:
Infographic showing various Tensorflow job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Group AI/ML Sol Architect - PostgreSQL

Group AI/ML Sol Architect - PostgreSQL

HCLTech

Virginia Beach, VA • On-site

$60.50 - $78/hr

Full-time

Posted 4 days ago


Job description

Job Summary:
HCLTech is seeking a Group AI/ML Solution Architect to lead the design and implementation of advanced AI and machine learning architectures. The role involves providing architectural leadership, guiding cross-domain teams, and ensuring solutions leverage state-of-the-art technologies to drive strategic business outcomes.
Responsibilities:
• Architect scalable AI/ML solutions by applying expertise in Python, TensorFlow, PyTorch, and scikit-learn to address complex business challenges and ensure robust model performance.
• Design and optimize data pipelines using Apache Spark, Kafka, and Airflow, enabling efficient data ingestion, transformation, and real-time analytics across distributed environments.
• Develop and validate machine learning models for NLP, time series forecasting, and deep learning tasks using pandas, NumPy, XGBoost, and Spark Mllib, ensuring accuracy and reliability.
• Establish architectural standards and governance by reviewing solution designs and ensuring compliance with industry best practices and organizational guidelines.
• Integrate and manage data storage solutions using PostgreSQL and MySQL, ensuring data integrity, scalability, and security within AI/ML platforms.
• Mentor and train technical teams in advanced AI/ML methodologies, fostering skill development and mitigating delivery risks through knowledge sharing and capability building.
• Evaluate emerging technologies and tools in AI/ML, recommending adoption strategies to maintain solution relevance and competitive advantage.
• Architect and implement RESTful API integrations to enable seamless communication between AI/ML components and external systems, ensuring scalable, secure, and efficient data exchange across diverse enterprise environments.
Qualifications:
Required:
• Architectural Leadership In Ai/Ml, Demonstrating Crossdomain Expertise And Strategic Technical Direction.
• Expert Proficiency In Python, Machine Learning Model Development, And Deep Learning Frameworks Such As Tensorflow And Pytorch.
• Advanced Knowledge Of Data Engineering Tools Including Apache Spark, Kafka, And Airflow For Largescale Data Processing.
• Solid Experience With Classical Ml, Nlp, Time Series Forecasting, And Model Validation Techniques.
• Excellent Skills In Sql, Postgresql, And Mysql For Data Management And Integration.
• Strong Understanding Of Cloudbased Ai/Ml Platforms Such As Databricks And Distributed Computing Environments.
Preferred:
• Certifications such as TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
Company:
HCLTech is a global IT company offering digital, engineering, and cloud solutions partnering with businesses for transformation. Founded in 1976, the company is headquartered in Noida, IND, with a team of 10001+ employees. The company is currently Late Stage.