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Python Ml Developer Jobs in Prairieville, LA (NOW HIRING)

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Algorithm Developer

Central, LA ยท On-site

$90 - $120/hr

Research, POC and develop core-algorithms based on computer-vision, signal processing and other ML ... Proficiency in Matlab or Python, where the later is preferred. * 3 years experience in deep ...

New

Senior Frontend Engineer

Central, LA ยท On-site

$150 - $210/hr

... Python, k8s, Terraform, CSPs Qualifications * 8+ years as a software engineer * Experience working on frontend and backend parts of large-scale data platforms (e.g., databases, data infra, ML/AI ...

New

Data Engineer

Baton Rouge, LA ยท On-site

$110K - $132K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

... and deeper adoption of ML & AI. You will lean upon your solid background in value selling ... Production programming experience in Python, R, Scala or Java * Nice to have: Databricks ...

Solutions Architect

Central, LA ยท On-site

$180 - $247.50/hr

... and deeper adoption of ML & AI. You will lean upon your solid background in value selling ... Production programming experience in Python, R, Scala or Java. * Nice to have: Databricks ...

Machine Learning Tutor

Baton Rouge, LA ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Python Ml Developer information

See Prairieville, LA salary details

$11

$53

$78

How much do python ml developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python ml developer in Prairieville, LA is $53.15, according to ZipRecruiter salary data. Most workers in this role earn between $43.80 and $60.38 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a Python ML Developer?

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 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.

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.

What are popular job titles related to Python Ml Developer jobs in Prairieville, LA?

For Python Ml Developer jobs in Prairieville, LA, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Prairieville, LA look for?

The top searched job categories for Python Ml Developer jobs in Prairieville, LA are:

Infographic showing various Python Ml Developer job openings in Prairieville, LA as of June 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $110,561 per year, or $53.2 per hour.

VP, Machine Learning Engineer, Enterprise AI, Innovation Group

UOB

Central, LA โ€ข On-site

$120 - $150/hr

Other

Posted 14 days ago


Job description

## VP, Machine Learning Engineer, Enterprise AI, Innovation GroupApplyremote type: Onsitelocations: Central Region (City Area)time type: Full timeposted on: Posted 7 Days Agojob requisition id: JR88245Company: 1011 United Overseas Bank Ltd **About UOB**United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values โ€“ Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.**Job Description****About the Department**Enterprise AI (EAI) focus on delivering AI and machine learning models developed in collaboration with business and support units, and driving the adoption of GenAI self-help across the Bank for value creation. EAI will spearhead the AIDA Center of Excellence, as well as own and manage the enterprise AI platforms.**Role Overview**UOB Enterprise AI is looking for an experienced and innovative AI Platform Specialist to join the dynamic team.You will be expected to play an integral role in shaping and executing our AI strategy and enterprise AI platform, leverage your expertise in ML algorithms, architectures, and best practices to design, develop, and deploy high-impact AI solutions that solve real-world banking challenges and create significant value for the enterprise.**Key Responsibilities:*** Partner with group technology to develop and enhance enterprise AI platform and operation to help drive AI industrialization within the bank.* Act as AI platform SME and work closely with data scientists, IT engineers and business stakeholders to understand the business needs, develop end-to-end ML solutions, and deploy into production environment.* Design and develop re-useable assets, libraries, frameworks, and ML tools to accelerate model development and platform management.* Collaborate with technology team to adopt best-in-class industry practices to streamline model deployment processes.* Build and optimize data and ML pipeline to ensure robust and high-quality data feed for both model training and operation.* Develop appropriate tools/apps/UIs to complete AI products for business stakeholders.* Stay ahead of industry trends, emerging technologies, and best practices to drive continuous improvement AI/ML process in UOB.**Key Requirement:*** Bachelorโ€™s or advanced degree in computer science, data science, software engineering or related fields.* Minimum 8 years of experience as an ML Engineer or similar role, with proven track record of developing and deploying ML solutions into production environment.* In-depth knowledge of ML algorithms, development tools, model life cycle and deployment patterns.* Hands-on experience of data management technology, including Hadoop, Sparks, ETL, relational & non-relational databases.* Proficiency in programming languages such as Python, Java or Scala.* Experience in on-premises and cloud-based AI platforms and technologies; familiar with DevOps and CI/CD practices.* Strong communication skills and able to convey/articulate complex technical concepts to non-technical stakeholders.* Working experience in banking/financial sector is a plus.## **Additional Requirements**University-BachelorBe a Part of the UOB FamilyUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application. #J-18808-Ljbffr