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Full Time Streamlit Jobs (NOW HIRING)

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

Dearborn, MI,48120- 2 days onsite in a week Employment Type: Full-time Position Description: GDI&A ... Streamlit. • Experience in supporting continuous improvement by investigating development ...

DHD Consulting

AI Specialist

Englewood Cliffs, NJ · On-site

$67K - $80K/hr

About the Benefits (Full-Time Employees) * Pay: The pay range for this position is $67,000 - $80 ... Build and operate the AI Insight Service, visualizing results via Looker, Streamlit, or similar ...

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How much do full time streamlit jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for full time streamlit in the United States is $17.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.99 per hour, depending on experience, location, and employer.

What is the difference between Full Time Streamlit vs Data Analyst?

AspectFull Time StreamlitData Analyst
Required CredentialsProficiency in Python, data visualization, basic web app developmentStatistical knowledge, Excel, SQL, sometimes Python or R
Work EnvironmentTech teams, product development, remote or office-basedBusiness units, reporting teams, often office-based
Industry UsageBuilding interactive dashboards and appsData interpretation, reporting, insights generation
Common Search IntentDeveloping web apps with StreamlitAnalyzing data and creating reports

Full Time Streamlit roles focus on creating interactive web applications using Python, while Data Analysts primarily analyze data and generate reports. Both roles require some technical skills, but Streamlit developers emphasize app development, whereas Data Analysts focus on data interpretation.

More about Full Time Streamlit jobs
What are the most commonly searched types of Streamlit jobs? The most popular types of Streamlit jobs are:
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Full Time Streamlit jobs near you
Infographic showing various Full Time Streamlit job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $36,392 per year, or $17.5 per hour.
Applied AI Engineer

Applied AI Engineer

Propio Language Services

Overland Park, KS • On-site

Full-time

Posted 11 days ago

Job description

Job Type
Full-time
Description
Propio is on a mission to make communication accessible to everyone. As a leader in real-time interpretation and multilingual language services, we connect people with the information they need across language, culture, and modality. We're committed to building AI-powered tools to enhance interpreter workflows, automate multilingual insights, and scale communication quality across industries.
We are hiring an Applied AI Engineer to build and deploy practical, high-impact AI systems. You will work across speech recognition, large language models, and prompt engineering to ship products like AI-generated summaries, interpreter QA tools, and multilingual retrieval systems. You'll operate at the intersection of engineering, research, and product with high ownership and startup-level pace.
This is a builder role, not a research-only position and you will be working closely with our VP of AI to get things live, fast.
Key Responsibilities:
  • Prototype, build, and deploy end-to-end AI applications involving speech, LLMs, and text generation
  • Integrate APIs like OpenAI, Whisper, Deepgram, and open-source equivalents for ASR and NLP
  • Collaborate with Engineers to iterate and refine MVPs before transitioning to model-level optimization
  • Develop internal tools and dashboards to test summarization, QA scoring, and multilingual understanding
  • Rapidly test ideas and model variations to explore feasibility and impact (build-measure-learn loop)
  • Ensure model pipelines are robust, scalable, and ready for handoff to MLOps and production
  • Work with the AI PM to align technical outputs with business use cases and feedback loops
  • Stay current on applied AI trends in speech and LLMs, and advise on what to use vs. build

Requirements
Qualifications:
  • Master's Degree in Engineering, preferably in Computer Science, Statistics, Data Science or equivalent work related experience
  • 3-5+ years of experience working with NLP or speech models in real-world applications
  • Experience with Python, Hugging Face Transformers, OpenAI APIs, Whisper, LangChain, or similar frameworks
  • Experience deploying AI models in production or pilot environments (e.g., using FastAPI, Flask, or Streamlit)
  • Strong understanding of embeddings, prompt chaining, and pipeline orchestration
  • Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate)
  • Comfortable with rapid iteration, MVP mindset, and cross-functional collaboration
  • Prior exposure to multilingual or low-resource language challenges is a plus

Preferred Qualifications:
  • Experience building speech-to-text pipelines or hybrid ASR + LLM systems
  • Experience with data labeling, annotation, or active learning workflows
  • Familiarity with real-time audio processing or latency-sensitive applications
  • Experience in healthcare, legal, or regulated environments (HIPAA, PHI, Section 1557)

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