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Senior Python Ai Jobs in Missouri (NOW HIRING)

$5.0K - $6.5K/mo

Our partner is looking for a Senior Python Engineer based in Netherlands. This fully remote ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

Python Senior Software Engineer

Noel, MO · On-site

$90K - $180K/yr

You are an AI builder with expert software engineering skills and have begun creating applications ... As a Senior software engineer, experience in building scalable, resilient, secure enterprise ...

You are an AI builder with expert software engineering skills and have begun creating applications ... As a Senior software engineer, experience in building scalable, resilient, secure enterprise ...

You are an AI builder with expert software engineering skills and have begun creating applications ... As a Senior software engineer, experience in building scalable, resilient, secure enterprise ...

The Sr. AI Developer, Engineering will design, build, and deploy the core application components of ... Design and implement backend services and APIs using Python (FastAPI, Flask, or similar frameworks)

Senior AI Engineer

California, MO · On-site

$187 - $215/hr

Role Overview As a Senior AI Engineer on our Applied AI team, you will design and deploy ... Python (strong proficiency) and TypeScript (working knowledge) * 4+ years of infrastructure ...

Senior AI/ML Engineer

Saint Louis, MO · On-site

$99K - $136K/yr

Role:-Senior AI/ML Engineer Location: St. Louis, MO (Locals only) Duration:- Long term We are ... Python code with error handling, logging, observability, and unit tests - Participate in code ...

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

Title and Summary Senior AI Engineer Mastercard's Business & Market Insights (B&MI) group empowers ... Develop high-performance Python backend services for LLM inference orchestration, async job ...

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

Title and Summary Senior AI Engineer Mastercard's Business & Market Insights (B&MI) group empowers ... Python backend services for LLM inference orchestration, async job handling, streaming responses ...

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Senior Python Ai information

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are the most commonly searched types of Python Ai jobs in Missouri?

The most popular types of Python Ai jobs in Missouri are:

What are popular job titles related to Senior Python Ai jobs in Missouri?

For Senior Python Ai jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Senior Python Ai jobs in Missouri look for?

The top searched job categories for Senior Python Ai jobs in Missouri are:

What cities in Missouri are hiring for Senior Python Ai jobs?

Cities in Missouri with the most Senior Python Ai job openings:

Senior Python Engineer

Remote

$5.0K - $6.5K/mo

Full-time

This job post has expired 5 days ago. Applications are no longer accepted.


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Python Engineer based in Netherlands.

This fully remote opportunity is designed for an experienced Python engineer passionate about building scalable data platforms and solving complex backend challenges. In this role, you will contribute to the development and improvement of high-volume data ingestion systems that power critical business insights. You will work with large-scale data pipelines, distributed systems, and modern engineering practices while collaborating with a highly skilled international technology team. The position offers the opportunity to take ownership of impactful technical projects, improve platform reliability, and influence architectural decisions. You will play a key role in transforming complex data sources into reliable, actionable intelligence for global users.

Accountabilities
  • Develop and maintain robust Python-based solutions for large-scale data ingestion and backend systems.
  • Build, improve, and maintain data collection processes, including web scrapers and automated data pipelines.
  • Enhance platform performance, reliability, observability, and overall data quality.
  • Conduct technical research and investigations to solve complex engineering challenges.
  • Take ownership of architectural and conceptual components, including reliability, quality assurance processes, and automation initiatives.
  • Collaborate with engineering teams through code reviews, technical discussions, and cross-functional initiatives.
  • Analyze existing systems, reduce technical debt, and improve codebase maintainability.
  • Make data-driven technical decisions through exploratory data analysis and evaluation of system performance.
  • Contribute to scalable solutions using modern backend technologies, distributed systems, and event-driven architectures.
Requirements
  • Strong professional experience developing backend systems with advanced Python and SQL.
  • Experience working with large-scale data processing, distributed systems, and high-load environments.
  • Knowledge of event-driven architectures and message queue technologies such as RabbitMQ or Kafka.
  • Ability to investigate technical challenges, analyze data, and make informed engineering decisions.
  • Experience building reliable, maintainable software with a strong focus on quality and scalability.
  • Strong ownership mindset with the ability to manage projects independently and deliver impactful solutions.
  • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • Comfortable working in a fast-paced environment with changing priorities and evolving requirements.
  • Experience with data products, Big Data environments, BI, analytics, or machine learning teams is considered an advantage.
  • Familiarity with technologies such as PostgreSQL, Redis, Puppeteer, Playwright, Selenium, Pandas, NumPy, or Scikit-learn is a plus.
Benefits
  • Fully remote position based in Europe.
  • Competitive compensation ranging from approximately $5,000 to $6,500 per month, depending on experience.
  • Opportunity to work on large-scale data systems supporting global business intelligence products.
  • High level of ownership and autonomy within an experienced technology team.
  • Exposure to advanced technologies in data engineering, automation, and machine learning.
  • Collaborative international environment with opportunities for knowledge sharing and professional growth.
  • Opportunity to contribute to impactful products used by leading organizations worldwide.
  • Flexible remote working structure with collaboration across European time zones.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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