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Python Llm Jobs in Somerville, MA (NOW HIRING)

Jj

Principal Scientist Data Science

Cambridge, MA · On-site

Experience with python LLM tools (e.g., DSPy, LangChain), optimization tools (e.g., pymoo) and ML tools (e.g., Scikit-learn, XGBoost, Optuna, PyMc), * Demonstrated experience and familiarity with ...

DATAECONOMY Inc

GenAI/Agentic AI Engineer

Boston, MA · On-site

$140 - $210/hr

Strong expertise in Python programming with specialization using various GenAI and Agentic ... Solid and proven experience in building GenAI and AgenticAI applications using LLM. * Solid ...

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How much do python llm jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for python llm in Somerville, MA is $63.97, according to ZipRecruiter salary data. Most workers in this role earn between $52.74 and $72.64 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 are popular job titles related to Python Llm jobs in Somerville, MA?

For Python Llm jobs in Somerville, MA, the most frequently searched job titles are:

What cities near Somerville, MA are hiring for Python Llm jobs?

Cities near Somerville, MA with the most Python Llm job openings:

Python Llm jobs near you
Infographic showing various Python Llm job openings in Somerville, MA as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $133,064 per year, or $64 per hour.

Data Scientist - Large Language Model (LLM)

Saviance

Boston, MA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Saviance is a technology company specializing in professional services and consulting with a focus on natural language processing innovation. They are seeking a Data Scientist to develop and enhance large language model applications, specifically in the healthcare industry, collaborating with research and engineering teams to optimize language models.
Responsibilities:
• Reinforcement Learning Expertise: Conduct advanced research and have a track record of scientific publications in reinforcement learning, including Q-learning, value-iteration methods, DQN, double DQN, actor-critic, and Proximal Policy Optimization.
• NLP and Transformers Mastery: Demonstrate deep knowledge, publications and hands-on experience with transformers and attention networks in NLP, including proficiency with the Hugging Face Transformers library and models.
• Model Development: Design, develop, and optimize large language models using cutting-edge transformer architectures and attention mechanisms, supported by proven code and projects.
• Data Structures and Algorithms: Possess a comprehensive understanding of data structures and algorithms, applying them effectively to address complex NLP challenges.
• Unix Proficiency: Be proficient in Unix-based systems to facilitate efficient data processing and model development workflows.
• Python Development: Bring at least 3-5 years of extensive Python development experience, with a focus on data science, machine learning, and AI projects.
• Prompt Engineering: Efficient and intensive prompt engineering expertise.
• LLM Infrastructure and engineering: Experience with various options for setting up the LLM infrastructure in the cloud.
Qualifications:
Required:
• Hold a Master's or Ph.D. in computer science or a related field.
• Present a proven track record of scientific publications in reinforcement learning, showcasing expertise in various RL methods.
• Demonstrate in-depth understanding and hands-on experience and proven scientific publications with transformers and attention networks for NLP, including familiarity with the Hugging Face Transformers library and models.
• Demonstrated ability to fine tune language models in multi-GPU environment.
• Possess a strong grasp of data structures and algorithms, with the ability to apply them effectively to solve intricate NLP problems.
• Exhibit proficiency in Unix-based systems for efficient data processing and development tasks.
• Have a minimum of 3-5 years of hands-on experience in Python development, with a particular focus on data science, machine learning, and AI.
• Moreover, at least 4-8 years of experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in other Client algorithms and libraries.
• Showcase exceptional problem-solving skills and a creative approach to tackling complex NLP challenges.
• Possess strong verbal and written communication skills, enabling effective collaboration with cross-functional teams.
Preferred:
• Conduct advanced research and have a track record of scientific publications in reinforcement learning, including Q-learning, value-iteration methods, DQN, double DQN, actor-critic, and Proximal Policy Optimization.
• Demonstrate deep knowledge, publications and hands-on experience with transformers and attention networks in NLP, including proficiency with the Hugging Face Transformers library and models.
• Design, develop, and optimize large language models using cutting-edge transformer architectures and attention mechanisms, supported by proven code and projects.
• Possess a comprehensive understanding of data structures and algorithms, applying them effectively to address complex NLP challenges.
• Be proficient in Unix-based systems to facilitate efficient data processing and model development workflows.
• Bring at least 3-5 years of extensive Python development experience, with a focus on data science, machine learning, and AI projects.
• Efficient and intensive prompt engineering expertise.
• Experience with various options for setting up the LLM infrastructure in the cloud.
Company:
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.
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About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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