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Hire AI/ML Developers

Hire AI/ML developers with hands-on experience in machine learning, LLMs, AI agents, data pipelines and production of AI systems to build and scale your solutions. Get the right expertise for your project and start within 24 hours.

15+ Years of Combined Expertise

100% Job Success on Upwork

Vetted AI/ML Developers

Production-First AI Systems

Fast Onboarding

No Long Hiring Cycles

Let's Build Your AI Team

100+

AI Developers

160+

Software Products Delivered

50+

AI Solutions

15+

Total Years of Experience

Our Trusted Clients

Meet Our Engineers

Senior AI Engineer/Developer

M.Sc. in AI AURO Univeristy - Surat, India
B.Sc. in IT B.K.Birla - Mumbai, India

NLP Machine Learning Artificial Intelligence Data Analysis Data Science Back-end Developers Neural Network Data Visualization LLM OpenAI RAG Prompt Engineering Python SQL Analytics DevelopmentNLP Machine Learning Artificial Intelligence Data Analysis Data Science Back-end Developers Neural Network Data Visualization LLM OpenAI RAG Prompt Engineering Python SQL Analytics Development

Senior AI Engineer/Developer

Post Graduate Program in Artificial Intelligence & Machine Learning, University of Texas at Austin (in collaboration with Great Lakes), 2025 — GPA: 3.72/4.0
B.Tech in Artificial Intelligence, NMIMS Mukesh Patel School of Technology Management & Engineering (in collaboration with Virginia Tech), 2024 — CGPA: 3.93/4.0; Certificate of Merit

Generative AI Large Language Models (GPT, Claude, Gemini, Llama, DeepSeek) RAG LangChain Prompt Engineering Function Calling Fine-tuning (QLoRA) Python FastAPI SQL REST APIs PyTorch TensorFlow Hugging Face Kubernetes Docker Azure GCP GitHub Actions Langfuse LangSmith Pinecone Chroma YOLOv8 OpenCV.

Senior AI Engineer/Developer

B.Sc. in Statistics Kishanchand Chellaram College - India
M.Sc. in Big Data Analytics Jai Hind College - India

NLP Machine Learning Reinforcement learning Artificial Intelligence Big Data Analysis Data Science Back-end Developer Neural Network Data Visualization LLM OpenAI RAG Prompt Engineering Python SQL, Cassandra, MongoDB, GraphQL Scala Pyspark

AI Consultant

Lovely Professional University
Bachelor of Technology - BTech, Mechanical Engineering

NLP Machine Learning Artificial Intelligence Data Analysis Data Science Back-end Developers Neural Network Data Visualization LLM OpenAI RAG Prompt Engineering Python SQL Analytics Development

US Business Partner

EAE Business School, Spain MBA - Master in International Business, International Business Minor - Design Thinking
University of Leeds, United Kingdom Post Grad certification How to Choose the Right Problem to Solve
Nebius Academy AI Agents and Automation Certification AI for Managers
Politecnico de Suramerica, Colombia Applied Psychology of Sales
AIEP Universidad Andres Bello, Chile Bachelor’s degree on Business Administration with an emphasis on Finances

Agentic AI Development AI Strategy AI Transformation Business Operations Process Automation AI Agents and Automation Business Transformation Revenue Analysis Strategic Business Development B2B Marketing Strategy Growth Strategies Sales Strategy CRM Sales Management International Business

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Our Technical Expertise

What Our AI/ML Developers Can Build

Hire AI/ML developers to build production-ready systems that combine machine learning, intelligent applications, and seamless integration.

Machine Learning Model Development

Build, train and deploy custom ML models across supervised, unsupervised and reinforcement learning, with a focus on accuracy, efficiency and production reliability.

AI Application Development

Develop AI-powered applications that connect ML models with intuitive interfaces, APIs, and automated backend workflows for practical business use.

LLM Integration & Generative AI Development

Integrate OpenAI, Claude, Gemini and open-source LLMs into production systems, including RAG pipelines, AI agents and intelligent automation workflows.

Data Pipeline & Feature Engineering

Create reliable data ingestion, transformation, and feature engineering pipelines that support high-quality models and consistent production performance.

MLOps & Production Deployment

Deploy and manage AI/ML systems using MLOps practices such as model CI/CD, monitoring, drift detection, and automated retraining.

AI/ML System Integration

Connect AI and ML systems with CRMs, ERPs, databases and enterprise platforms through custom APIs, webhooks and third-party integrations.

What We Build

What You Can Build with Our AI/ML Developers

Custom Machine Learning Systems

Build end-to-end ML systems using your proprietary data, covering model training, evaluation, deployment, monitoring and ongoing optimization.

AI-Powered Web & Mobile Applications

Develop full-stack web and mobile applications with AI embedded interfaces, backend workflows and data-driven user experiences.

Predictive Analytics & Forecasting Systems

Create ML models that forecast demand, predict churn, assess risk and uncover valuable insights from your operational data.

LLM-Powered Business Applications

Build production applications using GPT-4o, Claude or Llama for chatbots, knowledge assistants, document intelligence and automated content generation.

NLP & Text Intelligence Systems

Develop text intelligence solutions for sentiment analysis, entity extraction, document classification, text processing, and conversational AI.

Computer Vision Applications

Create image and video processing systems for object detection, quality inspection, facial recognition, and visual data analysis.

MLOps & Model Infrastructure

Build reliable ML pipelines with automated training, model versioning, monitoring and scalable model serving infrastructure.

AI/ML Integration into Existing Products

Add AI and machine learning capabilities to existing SaaS products, CRMs, ERPs and enterprise platforms without rebuilding your technology stack.

How We Work

Choose Our Right Engagement Model

Dedicated AI/ML Developer

Work with a senior AI/ML developer who integrates with your team full-time and takes ownership of building, training and improving your AI and machine learning systems.

AI/ML Team Augmentation

Strengthen your existing engineering or data team with experienced AI/ML developers. Fill skill gaps, accelerate development and deliver production of AI systems without committing to a full-time hire.

Project-Based AI/ML Development

Have a defined AI or ML system in mind? We manage development from scoping and implementation to deployment and documentation with a clear scope and timeline.

Flexible / Part-Time Engagement

Access senior AI/ML expertise on an hourly or part-time basis for model development sprints, MLOps setup, LLM integration or targeted AI feature development.

Talk to Our AI Experts Today

Why Quantal AI

Why Businesses Hire Our AI/ML Developers

Combined AI & ML Expertise

Our developers bring together AI application development and machine learning engineering, helping you build complete systems from data and models to production deployment without fragmented handoffs.

Production-Grade Experience

Our developers have hands-on experience building and shipping AI/ML systems in real production environments. They focus on reliable, scalable solutions rather than prototypes or demos.

Hire in 24 Hours

Share your requirements and get matched with a suitable AI/ML developer ready to start within 24 hours. Skip lengthy recruitment cycles and move your project forward faster.

US Time zone Availability

Our developers work across EST and PST, making communication, collaboration and decision-making easier for US-based businesses.

Flexible Engagement Models

Whether you need one developer for a specific AI feature or a complete AI/ML team, choose an engagement model that fits your project's scope and technical requirements.

Clean Code & Full Documentation

Every project includes clean code, complete technical documentation, and a structured handover. Your team can maintain, understand, and build on the solution with confidence.

Get in Touch

Talk to an AI Expert

Who We Serve

Industries We Serve

Fintech & Banking

Develop fraud detection, credit scoring and risk assessment systems, along with AI-powered automation for financial workflows and transaction monitoring.

Healthcare

Build clinical decision support, medical imaging and patient outcome prediction solutions designed around healthcare data and compliance requirements.

Legal & Compliance

Use AI/ML to streamline document intelligence, contract analysis, compliance monitoring, and legal research while reducing time spent on repetitive tasks.

E-commerce & Retail

Create recommendation engines, demand forecasting and churn prediction systems that support personalized customer experiences and smarter retail decisions.

HR & Recruitment

Develop AI-powered candidate matching, automated resume screening, workforce analytics and talent prediction tools to streamline recruitment processes.

SaaS & Technology

Add ML-powered product features, intelligent search, predictive analytics and AI-driven onboarding experiences to create smarter SaaS products.

Manufacturing

Implement predictive maintenance, automated quality inspection, defect detection, and supply chain optimization to improve operational efficiency.

Real Estate

Build property valuation, lead scoring and market prediction models while automating document processing and other data-heavy workflows.

Get in Touch

Talk to an AI Expert

Schedule a Demo View Case Studies

Featured Projects

Success Stories That Transform Businesses

View All Case Studies

Recruitment Data Enrichment &...

HR & recruitment

AI-powered LinkedIn outbound...

Legal Recruitment

Leadership Team

Meet Our
Founders

Shailesh Jain

Co-Founder · CMU Alumni

Nirav Shah

Co-Founder · Columbia, Ex UBS

Client Stories

What clients say about us.

“Quantal AI and Team are EXPERTS at building ANY AI functionality you’re seeking! We’ve hired them for 2 projects already — each completed ON TIME and UNDER BUDGET. Highly Recommended!”

Melissa C

myhomecarebiz.com

“Working with Quantal AI team has been an absolute pleasure. Their technical aptitude is outstanding — they’re not only highly competent but also creative, thoughtful, and reliable. They built a complex integration for our wine business connecting PhotoRoom, Google Cloud, AWS, and Shopify, and it works beautifully.”

David F

Osteopathic Healing Hands

“It was a pleasure working with Quantal AI team. Communication was smooth, deadlines were respected, and the overall collaboration was professional and efficient. I would definitely consider working together again in the future. Recommended!”

Ivana M

Elunic AG

Frequently Asked Questions

What is the difference between an AI developer and an ML developer?

An AI developer builds applications that use artificial intelligence, including LLMs, AI agents, and automation. An ML developer focuses more on developing, training, deploying, and maintaining machine learning models.
What does an AI/ML developer do?

An AI/ML developer builds AI and machine learning solutions, including models, data pipelines, AI applications, LLM integrations and production systems. They can also handle deployment, monitoring, and optimization.
What happens to my data when I hire an AI/ML developer?

Your data remains within the agreed infrastructure, and access is provided based on your project requirements. Security, access controls, and data-handling practices should be defined before development begins.
Who maintains the AI/ML system after it is deployed?

Maintenance can be handled by your internal team or the Quantal AI developer working on the project. Ongoing support can include monitoring, optimization, retraining, updates, and troubleshooting.
What skills should an AI/ML developer have?

They should have strong programming and ML skills, experience with frameworks such as PyTorch or TensorFlow, data engineering knowledge, and MLOps expertise. LLM, AI agent, cloud, and API development skills can also be valuable.
How quickly can I hire an AI/ML developer from Quantal AI?

If you want to hire AI/ML developers, Quantal AI can match you with vetted talent within 24 hours based on your technical requirements, project scope, and preferred engagement model.
Should I hire an AI/ML developer or a dedicated machine learning engineer?

Choose an AI/ML developer when you need both AI application and machine learning expertise. A dedicated ML engineer is more suitable when your primary requirement is model development, deployment, and ML infrastructure.
Can an AI/ML developer work on both model development and application integration?

Yes. Experienced AI/ML developers can build and integrate models into applications, APIs and existing platforms, depending on their technical specialization.
What AI/ML frameworks and tools should a developer know in 2026?

Relevant tools include PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, MLflow, Docker, Kubernetes and cloud platforms such as AWS, Google Cloud and Azure. The right stack depends on the project.
How do I know if an AI/ML developer has real production experience?

Look for experience deploying and monitoring live systems, managing model performance, building production pipelines, and handling real-world technical challenges. Case studies and technical assessments can also help validate their experience.
What is the difference between hiring an AI/ML developer and a generative AI engineer?

An AI/ML developer typically covers a broader range of AI and machine learning development. A generative AI engineer specializes in technologies such as LLMs, RAG, AI agents, fine-tuning and generative AI applications.