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Pytorch Developer Jobs in Tampa, FL (NOW HIRING)

Citi

Principal AI Engineer - Vice President

Tampa, FL · On-site

Pandas, NumPy, scikitlearn, PyTorch, TensorFlow, Transformers, FastAPI, LangChain, LlamaIndex ... Cloud, DevOps, & MLOps Strong CI/CD experience: GitLab CI, Jenkins, Azure DevOps, ArgoCD, GitHub ...

Kids for the Future

AI Engineer

Tampa, FL · On-site

$120K - $165K/yr

... DevOps, or infrastructure roles * Experience with cloud platforms (AWS, Azure, or GCP) * Familiarity with AI/ML frameworks (TensorFlow, PyTorch, or similar) * Proficiency in scripting/programming ...

Nokturnal AI

Be Seen First

Software Engineer - Robotics & Autonomy

Clearwater, FL · On-site

$150K - $217K/yr

Software Engineer - Robotics & Autonomy Clearwater, Fl ONSITE ONLY We are seeking a Software ... Familiarity with computer vision and machine learning tools such as OpenCV, PyTorch, or TensorFlow

Socket.dev

AI / ML Engineer

Tampa, FL · On-site

$100K - $135K/yr

Strong programming skills in Python; familiarity with Java/C++ is a plus ... Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace). * Solid understanding of ...

Bespoke Labs

Machine Learning Engineer

Tampa, FL

SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...

Bespoke Labs

Machine Learning Engineer

Tampa, FL · On-site

SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...

JP Morgan Chase

Lead Security Engineer

Tampa, FL · On-site

Strong hands-on AI/ML engineering skills ( ML frameworks like PyTorch/TensorFlow, MLOps with CI/CD and model deployment/monitoring), * Deep GenAI experience (LLMs, prompt engineering, RAG, fine ...

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Pytorch Developer information

What is a PyTorch developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are some common challenges PyTorch developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.

What are the key skills and qualifications needed to thrive as a PyTorch developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are popular job titles related to Pytorch Developer jobs in Tampa, FL?

For Pytorch Developer jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Tampa, FL look for?

The top searched job categories for Pytorch Developer jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Pytorch Developer jobs?

Cities near Tampa, FL with the most Pytorch Developer job openings:

Pytorch Developer jobs near you

Jr. Data Engineer-Top Secret cleared

Tampa, FL

Bluewater Federal Solutions, Inc.
See more jobs at Bluewater Federal Solutions, Inc.external

$112K - $135K/yr

Full-time

Posted 16 days ago

Job description

Overview

BlueWater Federal is looking for a Jr. Data Engineer to support CENTCOM at MacDill AFB. As a Data Engineer, you will design, implement, and maintain data pipelines for ingesting, transforming, and storing structured and unstructured data from diverse sources.  US Citizenship and active Top Secret clearance required.

Responsibilities
  • Design, implement, and maintain data pipelines for ingesting, transforming, and storing structured and unstructured data from diverse sources.
  • Connect to authoritative data sources via APIs (e.g., REST APIs) to ingest data into a data lakehouse architecture for further processing and storage.
  • Automate Extract, Transform, and Load/Extract, Load, and Transform (ETL/ELT) workflows to enable real-time or near-real-time data processing.
  • Curate ingested data into structured datasets optimized for analytics and reporting.
  • Implement and enforce DoD-compliant data governance frameworks, including metadata tagging and data classification.
  • Monitor and improve compliance with data policies and access control protocols.
  • Optimize the storage and retrieval of data to ensure seamless integration with analytics platforms and dashboards.
  • Support analytics initiatives using tools like Jupyter Notebooks, Databricks, Qlik, Palantir Foundry, Tableau, and other platforms.
  • Partner with mission teams to understand operational data requirements and translate them into technical solutions.
  • Explore and implement emerging technologies such as machine learning (ML) tools and AI frameworks to improve data processing and insights.
Qualifications
  • BA/BS in Data Management/Science/Analytics, Computer Sciences, Information Technology, or related fields is desired
  • Must be a US Citizen. Active TS clearance and SCI eligibility is required.
  • 1+ years of Data Analysis experience
  • Experience in building data pipelines, ETL/ELT workflows, and data storage solutions.
  • Experience connecting to authoritative data sources via APIs (e.g., REST APIs) and integrating that data into data lakehouses or similar architectures. Proficiency in Python, SQL, and/or other programming languages for data manipulation.
  • Hands-on experience with data storage and processing tools such as Apache Spark, Databricks, Hadoop, or similar.
  • Experience with data normalization, mining/aggregation, and visualization
  • Experience with operational dashboard design, development, and use
  • Familiarity with one or more of the following: Jupyter Notebooks, Databricks, Qlik, Palantir Foundry, Tableau, and/or similar data analytics platforms.

Desired

  • Expertise in Experience with cloud platforms (e.g., Azure, AWS, Google Cloud) and related services.
  • Experience with implementing data lakehouse architectures and integrating multiple analytics platforms.
  • Familiarity with AI/ML concepts and tools like TensorFlow, PyTorch, or Scikit-learn.
  • Experience with / knowledge of software engineering / languages (Python, Ruby, R, Java, Scala, Rust, etc.)

BlueWater Federal is proud to be an Equal Opportunity Employer.  All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law. BlueWater Federal is a VEVRAA federal contractor and we request priority referral of veterans.

Employment Type: FULL_TIME

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