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Python Ai Ml Jobs in Baton Rouge, 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 ...

Lindsay & Brownell

AI Solution Architect

Baton Rouge, LA · On-site +1

$60.50 - $79.75/hr

Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, ...

Akiva AI LLC

Senior Application Programmer

Baton Rouge, LA · On-site

$125K - $175K/yr

... ML concepts, model deployment, or agent-based automation systems • Familiarity with agent ... Python, SQL, PowerShell/Bash | Databases: SQL Server | AI & Agentic Systems: LLM-based agents ...

Bespoke Labs

Data Engineer

Baton Rouge, LA · On-site

$110K - $132K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Machine Learning Engineer

Baton Rouge, LA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Varsity Tutors

Machine Learning Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

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How much do python ai ml jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python ai ml in Baton Rouge, LA is $56.29, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, machine learning, or data science, often involving advanced skills in programming, deep learning, and data analysis. Such roles are usually found in senior or executive levels, require extensive experience, and may include responsibilities like leading AI projects or developing innovative solutions.

Is Python good for AI ML?

Python is widely regarded as an excellent programming language for AI and machine learning roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is commonly used by AI/ML professionals for developing models, data analysis, and automation tasks, making it a valuable skill for such jobs.

Which 3 jobs will survive AI?

For a Python AI ML professional, roles such as data scientist, machine learning engineer, and AI researcher are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced analytical skills, programming proficiency, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What are Python AI/ML engineers?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

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

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

What is the salary of Python AI ML?

The salary for Python AI ML roles varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in machine learning, deep learning, and data analysis can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.

How does a Python AI/ML professional typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
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Python Ai Ml 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.