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Python Ml Developer Jobs in Missouri (NOW HIRING)

$128K - $138K/yr

Collaborate with AI/ML engineers, DevSecOps, cybersecurity specialists, financial SMEs, and UX ... Strong Python proficiency with disciplined typing, functional programming patterns, and async ...

AI Engineer

O Fallon, MO · On-site

$107K - $128K/yr

AI Developer Location: O'Fallon, MO (On-site) Company : Milestone Marketing Solutions Position ... Proficiency in Python and Common AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

Python and SQL * ML & Data Science experience * Building and deploying ML models (classification ... Understanding of feature engineering, model evaluation, and common ML failure modes * Architecture ...

Senior AI Engineer

Springfield, MO · On-site

$95K - $130K/yr

The Sr AI Engineer serves as a senior technical leader responsible for architecting, scaling, and ... Deep proficiency in Python and modern AI/ML frameworks. * Experience deploying LLM/RAG systems with ...

... developer tooling used by engineering teams * Strong understanding of the end-to-end ML/LLM ... Familiarity with or willingness to work with TypeScript and Python in backend and platform contexts ...

The role combines advanced test automation engineering with hands-on evaluation of AI/ML systems ... Strong programming skills in Python with hands-on experience building test automation frameworks.

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Lead data engineering initiatives that enable AI/ML model development, LLM integrations, and AI ... Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and ...

Python and SQL * ML & Data Science experience * Building and deploying ML models (classification ... Understanding of feature engineering, model evaluation, and common ML failure modes * Architecture ...

Senior DevOps Developer

Berkeley, MO · On-site

$122K - $156K/yr

Bachelor's degree or higher * 3+ years of strong scripting and automation skills (Bash, Python ... in AI/ML-driven observability or anomaly detection into infrastructure and DevOps pipelines ...

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Senior DevOps Developer

Hazelwood, MO · On-site

$122K - $157K/yr

Bachelor's degree or higher * 3+ years of strong scripting and automation skills (Bash, Python ... in AI/ML-driven observability or anomaly detection into infrastructure and DevOps pipelines ...

Senior DevOps Developer

Hazelwood, MO · On-site

$122K - $157K/yr

Bachelor's degree or higher * 3+ years of strong scripting and automation skills (Bash, Python ... in AI/ML-driven observability or anomaly detection into infrastructure and DevOps pipelines ...

Senior DevOps Developer

Saint Charles, MO · On-site

$122K - $157K/yr

Bachelor's degree or higher * 3+ years of strong scripting and automation skills (Bash, Python ... in AI/ML-driven observability or anomaly detection into infrastructure and DevOps pipelines ...

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Senior DevOps Developer

Saint Charles, MO · On-site

$122K - $157K/yr

Bachelor's degree or higher * 3+ years of strong scripting and automation skills (Bash, Python ... in AI/ML-driven observability or anomaly detection into infrastructure and DevOps pipelines ...

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Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What job categories do people searching Python Ml Developer jobs in Missouri look for? The top searched job categories for Python Ml Developer jobs in Missouri are:
Senior Data Scientist: Associate AI Experience

Senior Data Scientist: Associate AI Experience

Walmart

Noel, MO • On-site

$90K - $180K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,943 frontline employees who took The Breakroom Quiz

24th of 39 rated national retailers


Job description

Position Summary... What you'll do...We are seeking a Senior Data Scientist to provide technical leadership and long‑term vision for next‑generation AI systems and platforms. This senior individual contributor will drive breakthrough system design and advanced solution development that transforms Walmart at scale. The role combines deep technical expertise (ML, simulation, optimization, agentic AI) with cross‑functional influence, mentoring of senior talent, and delivery of high‑impact, productionized solutions. You will be a great fit if: - You architect end-to-end ML/AI systems — from feature engineering through production deployment and monitoring - You’ve built and shipped multiple autonomous AI agents (not just experimented with LLM APIs) - You’re Level 5+ on Steve Yegge’s Vibe Coding scale and can ship production systems through AI-assisted development - You combine deep statistical rigor with practical business impact
 About the Team The Associate AI Experiences team applies advanced data science, machine learning, and agentic AI to solve high-impact business problems across Walmart globally. You’ll build production Agentic systems, deploy autonomous AI agents, and translate complex data into actionable insights that drive measurable business value at massive scale. Our team builds intelligent platforms, agents and ML-powered solutions that make associates’ jobs easier, faster, and more fulfilling across stores, fulfillment centers, distribution centers, and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping all data within Walmart’s network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale. What You’ll Do
  • Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale
  • Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and simulation. 
  • Architect and deploy large-scale AI systems and autonomous AI agents — conversational assistants, predictive agents with tool-calling, and multi-agent orchestration systems using LangChain, Pydantic AI, and RAG patterns
  • Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy
  • Deploy NLP pipelines at enterprise scale — semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS)
  • Lead high-impact projects end-to-end; problem framing, modeling, prototyping, production architecture, and rollout. 
  • Author and review technical designs and standards; present findings to senior leadership.
  • Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and experimentation design - raising the technical bar across teams.
  • Establish best practices for model validations, experiemention, and safe deployment of AI systems. 
  • Influence roadmap prioritization and long-term strategy for AI and simulation capabilities. 
  • Present insights to senior leadership with compelling data visualization, quantified business impact, and clear confidence intervals.
What You’ll Bring
  • Experience building and deploying AI/ML solutions in production environments.
  • Strong profiency in Python and common ML libraries (scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow).
  • Demonstrated AI/ML engineering experience:
    • Pipeline orchestration (Airflow, Dagster, Prefect)
    • Model packaging/serving (FastAPI, BentoML, TorchServe)
    • Containerization and deployment (Docker, Kubernetes)
    • CI/CD and testing practices for AI/ML
    • Monitoring, observability (model metrics, drift, loggin)
  • Solid understanding of statistics, experimental design, and causal/measurement thinking.
  • Experience with agentic AI / LLM systems including:
    • Tool/function calling and agent orchestration framework (LangGraph/LangChain, Semantic Kernel, LlamaIndex, custom orchestrators).
    • Prompt strategies, structured outputs, and reliability techniques
    • RAG design and optimization.
    • LLM/agent evaluation methodologies
  • Strong SQL skills and experience working with large-scale datasets.
  • Ability to translate complex analytical results into clear business recommendations for non-technical stakeholders.
Minimum Qualifications
  • Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 3+ years’ experience in data science or Machine Learning roles with demonstrated impact. 
Preferred Qualifications
  • PhD in AI, Machine Learning, Computer Science, Information Technology, Statistics, Applied Mathematics, Econometrics, or related field with relevant industry experience.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-10735: The annual salary range for this position is $90,000.00 - $180,000.00
Bellevue, Washington US-11663: The annual salary range for this position is $108,000.00 - $216,000.00
Sunnyvale, California US-11789: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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