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Finetune Jobs (NOW HIRING)

eTeam

Senior Machine Learning Engineer

San Jose, CA

$122K - $168K/yr

Build and finetune Large Language Model LLMbased applications using frameworks like LangChain, Hugging Face, LangGraph, or OpenAI API.Implement NLP, computer vision, predictive analytics ...

Noblesoft Technologies

Datadog SME

Frisco, TX · On-site

Candidate should be able to finetune and optimize Datadog monitoring * Datadog SME to Improve alerting, including SLO alert, and integration to SNOW * Datadog SME to Setup Correlation between network ...

Wealth Inc

Applied Scientist- AI/ML Intern

$45 - $55/hr

Finetune and integrate the latest Large Language Models (LLMs) such as OpenAI/Gemini/MistralAI models into production systems. * Train, finetune and deploy large-scale NLP and CV models to power ...

OpenMart

Founding Engineer (Backend)

San Mateo, CA

Proficiency in Langchain, RAG, embeddings, multi-step AI agents, AI agent evals & finetune * (Preferred) Search Algorithm Technology: Experience in search engine development, familiarity with re ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

You will train, finetune, and compress models to run efficiently on resource-constrained edge hardware without compromising accuracy or performance. You will bridge the gap between software and ...

Staffingine LLC

iOS Developer

Phoenix, AZ · On-site

$51.50 - $70.75/hr

Good knowledge in App Profiling to finetune mobile applications using Instruments * Demonstrated experience in Agile development application design software development and testing * Aptitude for ...

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Finetune information

What is the difference between Finetune vs Data Scientist?

AspectFinetuneData Scientist
Required CredentialsKnowledge of machine learning, programming skills (Python, TensorFlow/PyTorch)Statistics, programming, data analysis, often a degree in related field
Work EnvironmentFocus on customizing pre-trained models, often in AI/ML teamsData analysis, modeling, and insights across various industries
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, tech, consulting firms
Common Search & ComparisonYesYes

Finetune involves customizing existing machine learning models for specific tasks, requiring programming and ML knowledge. Data Scientists analyze data, build models, and generate insights across industries. While both roles involve data and algorithms, Finetune is more specialized in model adaptation, whereas Data Scientists focus on broader data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Finetune Machine Learning Engineer, and why are they important?

To thrive as a Finetune Machine Learning Engineer, you need a solid background in machine learning, data science, and programming languages like Python, often supported by a degree in computer science or a related field. Familiarity with ML frameworks such as PyTorch or TensorFlow, experience in model optimization, and knowledge of cloud platforms like AWS or Azure are typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly help set candidates apart. These skills are crucial to effectively customize models for specific tasks, ensuring optimal performance and value for business applications.

What are finetune jobs?

Finetune jobs refer to the process of taking a pre-trained machine learning model and further training it on a specific dataset to adapt it for a particular task or domain. This approach leverages the general knowledge the model has already learned and customizes it for improved performance on specialized tasks. Finetuning is commonly used in natural language processing, computer vision, and other fields where large models are adapted for specific business or research needs. The process often requires less data and computational resources compared to training a model from scratch.

What are some common challenges faced by professionals working in AI model finetuning, and how can they be addressed?

Professionals in AI model finetuning often encounter challenges such as managing large datasets, ensuring data quality, and avoiding model overfitting. It's crucial to implement robust validation strategies and continuously monitor model performance to address these issues. Collaboration with data engineers, domain experts, and machine learning researchers is key to identifying data gaps and refining the training process. Staying current with best practices and leveraging automated tools can also help streamline finetuning workflows and improve outcomes.
Infographic showing various Finetune job openings in the United States as of May 2026, with employment types broken down into 61% Full Time, 13% Temporary, 13% Contract, and 13% Summer. Highlights an 87% In-person, and 13% Remote job distribution.

Workday Consultant Developer

Hudson Manpower

Harrisburg, PA • On-site

Contractor

Posted 22 days ago

Job description

We are looking for a hands on WorkDay developer. This person will fully understand how the HCM modules work and will be able to customize workflows and finetune the system. They will be highly focused on Performance Management and Performance Metrics within workday. This person will be very analytical, and will be deeply involved in customizations as a full subject matter expert. Almost like a hands on Architect. The client expects someone with thick skin who can take direction.
We are looking for a hands on WorkDay developer. This person will fully understand how the HCM modules work and will be able to customize workflows and finetune the system. They will be highly focused on Performance Management and Performance Metrics within workday. This person will be very analytical, and will be deeply involved in customizations as a full subject matter expert. Almost like a hands on Architect. The client expects someone with thick skin who can take direction.

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