Onboard senior AI professionals from Entrans. Our teams are experienced in Fast API, Django, and Large Language Models (LLMs), with access to our top 3% of senior AI/ML developers. Hire top AI developers who achieve business outcomes, not just build models.
To outpace the competition, businesses partner with Entrans for pre-vetted AI talent. Our certified AI developers for hire speed up your AI roadmap and deployment. They produce measurable business value. They also shorten your time-to-insight.
Hire top AI developers to build production-grade AI systems. We connect advanced data science with your main business objectives. This helps confirm measurable ROI and gives you a clear competitive advantage.
Onboard our pre-vetted, top AI developers and data scientists quickly. They immediately begin architecting high-impact solutions that support growth for your business and technical needs.
Our certified AI developers for hire practice modern MLOps. They expertly use CI/CD for ML and containerization (Docker, Kubernetes). They also use model monitoring to build resilient and automated AI pipelines.
Our flexible engagement models help you get AI solutions suited to your goals. Hire AI developers who always translate complex algorithms into practical business applications that can grow.
Hire top AI developers to improve model security and data governance. They use stable pipelines and automated validation. This confirms your AI systems are always optimized, compliant, and dependable.
Hire AI developers with full-spectrum expertise. We cover everything from foundational data planning to specialized Large Language Models (LLMs). Entrans supplies senior AI developers to build, secure, and manage any solution on your data stack.
Our team of AI developers for hire builds end-to-end custom LLM applications. They use frameworks like LangChain and manage vector databases. This helps create stable, context-aware generative AI systems.
Hire offshore AI developers to create dynamic, predictive models that support growth. They use tools like TensorFlow and PyTorch. They also connect with data pipelines and BI tools to inform decision-making.
Our experts build and manage your complete AI systems. This includes everything from data ingestion and CI/CD for models to large-scale serving. This makes certain your solutions move from prototype to production.
Entrans’ AI engineers organize data workflows using Spark, Airflow, and modern data warehouse solutions. Our AI developers for hire build the clean, dependable data foundations needed for any successful ML model.
We specialize in building sophisticated NLP models. These are used for sentiment analysis, entity recognition, and text summarization. Hire AI developers to handle complex unstructured text data and run intelligent applications.
We use FastAPI and Docker to quickly build and deploy secure, high-performance APIs for your AI models. Hire AI developers to create stable inference services for modern front-end frameworks and applications.
Technical Stack: Flutter, AngularJS, LangChain, Pinecone, FastAPI
Enterprises needed an AI solution for human-like conversations grounded in their secure, proprietary data. We developed Thunai, our enterprise-grade agentic AI platform, to automate sales and support.
Thunai delivers accurate, data-driven responses, handles complex agent interactions, and offers a unified platform for global, multilingual support.
Technical Stack: Python, spaCy, TensorFlow, AWS Lambda
A global learning platform struggled with inconsistent, unscalable manual evaluations. We engineered a custom AI engine to automate scoring and feedback for thousands of students worldwide.
This new system achieved 95% workflow automation, cut support queries by 40%, and enabled real-time monitoring for over 10,000 concurrent users.
Entrans provides specialized AI development teams that ensure model accuracy, business alignment, and rapid deployment. Our pre-vetted network offers deep expertise in Python, LLMs, and AI workflows, delivered through adaptive engagement models that integrate seamlessly with your existing DevOps and agile processes.
Identify high-impact AI opportunities and gaps that need expert AI/ML developer roles.
Access pre-screened profiles with verified AI/ML expertise and domain-specific project experience.
Validate skills in Python, FastAPI, LLM pipelines, and MLOps through rigorous technical challenges.
Onboard experts who understand your AI stack, ensuring smooth ramp-up and minimal friction.
Maintain continuity with structured upskilling on AI/ML frameworks, model updates, and deployment best practices.
Ideal for long-term projects that require specialized expertise.
Add skilled AI engineers to your team as an extension of your workforce.
Hire a full team for specific projects with defined timelines.
Our team of AI developers serves global clientele from fast-growing startups to large enterprises. Our specialists architect solutions that support growth. They use their deep knowledge of AI and data science applications.
A Data Scientist mainly analyzes data. They build and validate predictive models to uncover insights. An AI Engineer (or ML Engineer) is a software engineer. They build, deploy, and manage those models in production. They work on the technical setup, MLOps, and performance.
An AI developer designs, writes, and maintains the code for machine learning models and AI systems. They are responsible for data ingestion and feature engineering. They also handle model training and deploy models as large-scale APIs. This allows other applications to use them.
Python has a stable, high-performance platform. It has an unmatched ecosystem of libraries (like TensorFlow, PyTorch, Pandas). Its simple syntax makes it ideal for the complex and iterative work of AI development.
MLOps (Machine Learning Operations) is a set of practices. It automates and manages the end-to-end machine learning lifecycle. For PMs and CEOs, it is very important because it lowers the risk of deployment. It also confirms models are monitored and retrained. It turns AI experiments into dependable, large-scale business products.
The cost to hire AI developers varies. It is based on experience (e.g., Data Scientist vs. Senior ML Engineer), platform expertise (e.g., AWS, Databricks), and location. Globally, hourly rates for senior contract talent can range from $80 to over $200 for specialized architects.