ZipRecruiter

Log In

1

Python Llm Jobs in Mount Laurel, NJ (NOW HIRING)

Nuuly

Nuuly Senior Software Engineer

Philadelphia, PA

$112K - $148K/yr

Write automation (Python/Bash) that enforces schema and quality gates across the system * Measure ... Hands-on experience designing agent instructions, prompt systems, or LLM-backed workflows

Xactus

AI Engineer

Broomall, PA · On-site +1

... LLM frameworks. Hands-on experience with Claude and/or GPT models. * 2+ years of AWS experience (S3, CloudFormation, CloudWatch). Strong Python and FastAPI. SQL expertise. RAG and semantic search ...

URBN

URBN Senior DevOps Engineer

Philadelphia, PA · On-site

$119K - $153K/yr

... including LLM orchestration, MCP server deployments, and agent execution runtimes with an eye ... Strong scripting/automation in Python or Go * Observability stack experience: OpenTelemetry ...

URBN

URBN Senior DevOps Engineer

Philadelphia, PA

$119K - $153K/yr

... including LLM orchestration, MCP server deployments, and agent execution runtimes with an eye ... Strong scripting/automation in Python or Go * Observability stack experience: OpenTelemetry ...

Nuuly

Nuuly Senior Software Engineer

Philadelphia, PA · On-site +1

$112K - $148K/yr

Write automation (Python/Bash) that enforces schema and quality gates across the system * Measure ... Hands-on experience designing agent instructions, prompt systems, or LLM-backed workflows

RELX

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

... MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. • Optimize ... Strong Python, Java, and/or Scala experience will be considered a plus. • Hands-on experience ...

Bespoke Labs

Machine Learning Engineer

Trenton, NJ · On-site

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Bespoke Labs

Machine Learning Engineer

Philadelphia, PA · On-site

... Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision) Hands-on experience with LLM post-training -- SFT, RLHF, PPO, DPO, or reward model ...

Elsevier

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

... MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. • Optimize ... Strong Python, Java, and/or Scala experience will be considered a plus. • Hands-on experience ...

previous page

Showing results 41-60

All JobsPython Llm JobsPython Llm Jobs in Mount Laurel, NJ

Python Llm information

See Mount Laurel, NJ salary details

$13

$58

$85

How much do python llm jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for python llm in Mount Laurel, NJ is $58.05, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.96 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What job categories do people searching Python Llm jobs in Mount Laurel, NJ look for? The top searched job categories for Python Llm jobs in Mount Laurel, NJ are:
What cities near Mount Laurel, NJ are hiring for Python Llm jobs? Cities near Mount Laurel, NJ with the most Python Llm job openings:
Python Llm jobs near you

Healthcare Data Scientist & AI Solutions

BioVid

Bristol, PA

Full-time

Re-posted 20 days ago

Job description

BioVid is transforming pharmaceutical market research by replacing slow, traditional methodologies with AI-augmented data systems.

In this role, you will personally analyze the data to uncover HCP prescribing behavior and behavioral insights. You will help bridge quantitative real-world data with qualitative market research, and play a key role in developing synthetic audiences ("Digital Twins") that mirror healthcare provider prescribing behavior and patient treatment journeys, while enabling scalable forecasting, segmentation, and market intelligence solutions.


Must-Have Qualifications


Hands-on analysis of medical / pharmacy claims data (EHR preferred)

Direct, hands-on experience analyzing the data itself - not only engineering it. You can extract and predict HCP prescribing behavior for specific drugs, for specific conditions, in specific treatment areas, and tag HCP qualitative / attitudinal segments to NPIs, associating those segments with real prescribing behavior. HIPAA requirements fluent (most of our data will be deidentified)

  • Analyze medical and pharmacy claims to extract and predict HCP prescribing behavior for specific drugs, conditions, and treatment areas.
  • Perform HCP / patient segmentation, demand forecasting, journey mapping, modeling
  • Help build Synthetics, simulated segments and HCP equivalents.
  • Machine Learning experience in modeling training and evaluating models (LLM fine tuning, training a nice to have)
  • Tag qualitative / attitudinal HCP segments to NPIs and link them to observed prescribing behavior.
  • Translate these analyses into actionable segmentation, targeting, and forecasting insights.


Data Cleaning, Processing, Augmentation and Transformation

  • Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling in AWS/Athena.

Key Responsibilities


Data Integration & Modeling

  • Data cleaning, scarcity, gap analysis, joining and data augmentation, transformation to create partitions, data marts and analytics workspaces for analysis and modeling inAWS/Athena.
  • Resolve identity matching, tokenization, and data harmonization challenges across disparate sources.
  • Build scalable, tested, and version-controlled data models using dbt on AWS/Athena.


Data Quality, Governance & Compliance

  • Implement automated data quality checks using tools such as Great Expectations or equivalent.


Analytics, AI & Machine Learning

  • Conduct advanced exploratory data analysis (EDA) and feature engineering using SQL, Python, pandas, and numpy.
  • Analyze claims data to model and predict HCP prescribing behavior by drug, condition, and treatment area, and associate attitudinal segments with NPIs.
  • Build AI-powered synthetic provider and patient personas grounded in real-world claims distributions.
  • Develop methods to scale qualitative research insights into national quantitative projections.
  • Machine Learning experience in modeling training and evaluating models. (LLM fine tuning and training a nice to have
  • Perform (or help perform) and automate pharmaceutical market research including:
  • HCP segmentation
  • Demand forecasting
  • Patient journey mapping
  • Audience simulation


API & Product Delivery

  • Build and maintain performant backend APIs using FastAPI, deployed on AWS (e.g., ECS/Fargate, App Runner, or Lambda).
  • Deliver data products, personas, and insights to internal tools and client-facing applications.


Skills & Experience

  • 5+ years in Analytics Engineering, Data Engineering, Data Science, or similar roles.
  • Proven ownership of end-to-end data pipelines and scalable analytics systems on AWS.
  • Hands-on experience with AWS data and analytics tooling, including Athena, S3, Glue, and SageMaker (AWS is the primary environment).
  • Strong experience with healthcare claims and EHR data (Rx, Dx, medical, pharmacy) and major data vendors such as IQVIA, Komodo, Symphony, or Definitive Healthcare.
  • Demonstrated hands-on analysis of medical/pharmacy claims to extract and predict HCP prescribing behavior and tag attitudinal segments to NPIs.
  • Expert SQL and strong Python skills, including pandas and large-scale data workflows.
  • Understanding of pharma market research, including patient journeys, HCP segmentation, and demand modeling.
  • Experience integrating survey or primary research data with large quantitative datasets.
  • Comfortable using AI coding assistants and agentic development tools to accelerate delivery.

Apply