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

TechPossible

AI/ML Engineer

Denham Springs, LA · On-site

$110K - $125K/yr

The AI/ML Engineer is the core hands-on builder on the AI team. This person writes the code that ... Strong experience and knowledge in Python and TypeScript * Hands-on LLM API experience: Anthropic ...

Bespoke Labs

Data Engineer

Baton Rouge, LA · On-site

$110K - $132K/yr

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

EisnerAmper

AI Solution Architect

Baton Rouge, LA · On-site

$49.50 - $65/hr

Data engineering and ML model development * Programming Languages: Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure ...

Lindsay & Brownell

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

Data engineering and ML model development * Programming Languages: Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure ...

Eisneramper Llp

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

Data engineering and ML model development * Programming Languages: Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure ...

EisnerAmper

AI Solution Architect

Gonzales, LA · On-site

$54.25 - $71.50/hr

Data engineering and ML model development * Programming Languages: Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure ...

Varsity Tutors

Machine Learning Tutor

Baton Rouge, LA · 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 ...

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Prairieville, LA

Python Ml Developer information

See Prairieville, LA salary details

$11

$53

$78

How much do python ml developer jobs pay per hour?

As of Jul 9, 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 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 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:
Python Ml Developer jobs near you

AI/ML Engineer

TechPossible

Denham Springs, LA • On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Benefits:
  • 401(k) matching
  • Health insurance
  • Opportunity for advancement
  • Paid time off
  • Training & development

TechPossible is seeking a motivated AI/ML Engineer to join our team! At TechPossible, youll work alongside a group of dedicated professionals who take pride in delivering high-quality IT and managed services. We support businesses in managing, securing, and maintaining their technology systems, and we do it with a strong commitment to honesty, integrity, and doing things the right way. If youre passionate about building innovative solutions and want to make a meaningful impact, youll feel right at home here.
Job Summary: The AI/ML Engineer is the core hands-on builder on the AI team. This person writes the code that makes the AI features work the voice agent prompts, the intent classifiers, the RAG pipelines, the evaluation harnesses, and the integrations that connect AI capabilities to business systems.
Essential Job Responsibilities: (Including but not limited to)
  • Implement AI workflows, including workflow logic, intent classification, entity extraction, and multi-step decision processes
  • Build and tune LLM-powered features using OpenAI, Anthropic, and other APIs including prompt engineering, structured output parsing, and function calling
  • Develop NLP/classification systems for routing
  • Design and run model evaluations: build test sets, measure accuracy/latency/cost, iterate on prompts and model choices
  • Tune confidence thresholds (e.g., 90%/70% auto-vs-human routing) and monitor drift in production
  • Integrate AI and workflows with existing enterprise systems
  • Implement observability for AI systems, including structured logging, prompt and pipeline tracing, and cost attribution per execution
  • Collaborate with cross-functional teams to operationalize and iterate on prompts
  • Contribute to code review, technical design docs, and on-call rotations
  • Delivers responsive and professional customer support by diagnosing and resolving technical issues, communicating clearly with non-technical users, and ensuring timely follow-up to maintain high levels of customer satisfaction
  • Keep up with rapidly evolving technologies, algorithms, and industry trends
  • Work closely with business managers and other engineers to align AI strategies with company goals
Required Qualifications:
  • Strong experience and knowledge in Python and TypeScript
  • Hands-on LLM API experience: Anthropic Claude, OpenAI, at least one other provider; function calling, JSON mode, streaming
  • Prompt engineering as a systematic practice not ad-hoc wordsmithing, but versioned prompts with test sets and regression checks
  • NLP fundamentals: intent classification, NER, embeddings, semantic search (pgvector, Pinecone)
  • Create evaluation approaches that define meaningful success metrics, build test datasets, and track performance against client-specific KPIs.
  • Model selection tradeoffs: when to use GPT-5 vs. Claude Sonnet vs. Haiku, when to fine-tune, when RAG is the right pattern
Voice AI
  • STT/TTS integration: Deepgram Nova/Aura, Whisper, ElevenLabs
  • Real-time streaming audio handling latency budgets, interruption handling, turn-taking
  • Twilio Voice API, SIP trunking concepts, WebRTC awareness
Software Engineering
  • Backend development: REST APIs, async patterns, message queues
  • Databases: SQL (PostgreSQL, SQL Server), basic schema design; vector DB basics
  • Cloud: Azure (AWS/GCP acceptable), containerization (Docker)
  • Git, CI/CD, code review fundamentals
Preferred Skills: (Not Required)
  • MLOps tooling: Langfuse, MLflow, Weights & Biases
  • Familiarity with model adaptation techniques, such as fine-tuning (e.g., LoRA, supervised approaches)
  • Experience with frameworks: LangChain, LlamaIndex, Pydantic AI used judiciously, not as a crutch

Benefits:
  • Health Insurance TechPossible will pay 50% of the employees premium
  • 401k Contribution TechPossible will match employee contribution up to 3%
  • Optional benefits: Dental, Vision, Accident, Critical Illness, Short Term Disability, and Life Insurance.
  • Paid Time Off
  • Paid Holidays
  • Access to Employee Assistance Program
  • Company provided health club membership
  • Travel reimbursement
  • Opportunities for professional development and certification support
  • Supportive, team-oriented work environment

At TechPossible, we speak human, and we deliver results. We embed with your team to take full responsibility for your technology, bringing clarity where theres complexity and control where theres risk. Our experts secure, optimize, and manage your systems so they consistently perform at a high level. We dont just keep things running; we make your technology a reliable driver of growth and a foundation for whats next.