We Help You Hire a Python AI Developer From South America
Nearshore companies often make it difficult and time-consuming to hire a good Python AI developer. However, this is not the case here at Hire AI Developer where we make hiring a experienced Python AI developer an easy, smooth and fast process. The best Python developer for your role, you should be resourceful, responsible, hardworking, and an expert in using AI.
We use an artificial intelligence match algorithm to help you find the best Python developer for your AI project. Our team finds the best match for your business based on a combination of data analysis and personal interviews.
Our goal is to help you hire a Python AI developer who will contribute quality code from the start. We have refined our hiring process over several years, which is trusted by several fast-growing startups. Hire AI Developer can help you find your dream Python AI software developer!
Work to USA Hours
Since our Python AI developers are in Brazil, they are happy to work US hours to be able to communicate with your already existing team.
South American Prices
South American python developers who are eager to work with US companies have joined our team.
No Surprise Extra Costs
Our company handles personnel benefits, local employment taxes, and other employment-related expenses.
Vetted Professional Developers
You can be assured you are hiring a skilled python AI professional who has gone through our rigorous testing process when you hire a software developer with us.
Testimonials
Is Python a good language for AI development?
Python is widely regarded as an exceptional programming language for AI development due to its numerous advantages and extensive adoption in the field. Let’s delve into why Python is highly suitable for AI development, focusing on three key factors:
Vast Array of AI Libraries and Frameworks
Python offers a rich ecosystem of specialized libraries and frameworks specifically tailored for AI development. Renowned libraries like TensorFlow, PyTorch, and scikit-learn provide powerful tools for building, training, and deploying machine learning models. These libraries streamline complex tasks such as data preprocessing, model optimization, and visualization, allowing developers to focus more on AI algorithms and problem-solving.
Supported by All Major AI Vendors
Python has gained widespread adoption and support from major AI vendors, including Google, Facebook, and Microsoft. These companies actively develop and maintain AI frameworks and tools in Python, ensuring seamless integration and compatibility with their platforms. This support from industry leaders fosters innovation and keeps Python at the forefront of AI development.
Lots of Examples of AI Code Written in Python
Python has become the de facto language for sharing AI code and implementations. Numerous research papers, tutorials, and online resources provide examples and code snippets in Python, making it easier for developers to learn, replicate, and build upon existing AI techniques. This vast collection of AI code in Python facilitates knowledge sharing, collaboration, and accelerated development.
Python’s vast array of AI libraries and frameworks, support from major AI vendors, and abundance of AI code examples written in Python collectively make it an excellent language for AI development. Its versatility, ease of use, and strong community support position Python as a preferred choice for AI practitioners, enabling them to create powerful AI solutions with efficiency and effectiveness.
Python is a versatile programming language that empowers developers to create powerful AI applications. With its rich ecosystem of libraries and frameworks, Python provides the tools and flexibility needed to harness the potential of artificial intelligence. Whether it’s for business apps or websites, Python enables the development of AI-driven solutions that can revolutionize various aspects of modern enterprises.
AI-Powered Business Applications
Python enables the development of AI-powered business applications, opening up a wide range of possibilities. From customer service chatbots that offer personalized assistance and automate routine tasks, to intelligent recommendation systems that enhance user experiences and drive sales, Python facilitates the integration of AI capabilities into business workflows. Additionally, Python’s natural language processing capabilities make it well-suited for sentiment analysis, language translation, and text generation, enabling businesses to gain valuable insights from large volumes of text data.
AI-Enhanced Websites
Python empowers the creation of AI-enhanced websites that provide enhanced functionality and personalized experiences. Machine learning algorithms developed in Python can be used to analyze user behavior, optimize content delivery, and offer tailored recommendations. Python’s image and video processing libraries enable intelligent image recognition, object detection, and video analysis, enhancing visual content on websites. Furthermore, Python’s data analysis and visualization capabilities enable businesses to gain insights from user interactions, website traffic, and customer feedback, enabling data-driven decision-making for website optimization and marketing strategies.
- Customer service chatbots for enhanced support.
- Demand forecasting for optimized inventory management.
- Fraud detection for real-time risk mitigation.
- Sentiment analysis for data-driven decision-making.
- Recommendation systems for personalized product suggestions.
- Automated data entry and processing for efficiency.
- Intelligent document processing for faster information extraction.
- Predictive maintenance for proactive equipment management.
Claúdio Costa
Python AI Developer
8+ Years of Python 5+ Years of AI Development. Enjoys working on both the back and front end of systems
André Dias
Python AI Developer
12+ Years of Python 6+ Years of AI development. Lots of experience in the financial industry and banking
Nilton do Nascimento
Python AI Engineer
10+ Years of Python 8+ Years of AI Data Science. Previously worked for a number of ecommerce and finance companies.
What does a Python AI Developer do?
A Python AI developer is responsible for designing, developing, and implementing artificial intelligence (AI) solutions using the Python programming language. Their job involves working with data scientists and other team members to understand project requirements and translate them into efficient and effective AI algorithms and models. They play a crucial role in creating intelligent systems that can analyze, process, and interpret large amounts of data to provide valuable insights or make intelligent decisions.
Python AI developers work on various aspects of AI development, including data preprocessing, feature engineering, model selection, and hyperparameter tuning. They utilize Python libraries and frameworks such as TensorFlow, Keras, PyTorch, and scikit-learn to build and train AI models. They also employ techniques like deep learning, machine learning, natural language processing (NLP), computer vision, and reinforcement learning to develop AI applications.
In addition to coding AI algorithms, Python AI developers are responsible for testing and evaluating the performance of the models they create. They optimize and fine-tune the models to ensure their accuracy, efficiency, and scalability. They also collaborate with the software development team to integrate AI models into larger software systems or applications.
A Reliable AI Development Partner For You
In order to develop AI Apps and integrate backend systems, you need a partner with proven experience in AI. We strive to provide a professional and premium service to all of our customers. Our AI development team can help you get off to a great start!
How to Hire a Python AI Developer?
Here are two steps you can follow in order to hire a Python AI developer with us:
Click the banner below and fill in your requirements and click submit. Please provide a description of whatever you need and your project size.
Receiving and interviewing resumes from Python AI developers. Start preparing a shortlist of professionals to interview once the proposals start coming in.
The requirements description is where you will determine your scope of work and the specific type of AI developer you need.
- Project Scope: From backend AI integration, to AI-powered Apps and database analytics, list all the deliverables you’ll require.
- Expected Project length: Your job post should indicate what timescale you expect the work to be completed in or if it is ongoing.
- Industry Background: If you prefer someone with certain industry experience, mention this here.
- Preferred Billing: Tell us if you prefer hourly rates or monthly bills.
How much does it cost to Hire a AI Developer?
It is common for many factors to have an impact on the cost, such as expertise, experience, location, and market conditions.
AI Developers who boast experience will also deliver higher-quality results, work faster, and have more specialized areas of expertise in addition to commanding higher fees.
A less experienced Python AI developer might price their development services lower as they gain experience.
The hourly rates for our South American Python AI developers are:
Junior
Prices From- Works to U.S time zones
- No Recruitment Fees
- Vetted Skills & Experience
- Fulltime Working for you
- No Unreliable Freelancers
Intermediate
Prices From- Works to U.S time zones
- No Recruitment Fees
- Vetted Skills & Experience
- Fulltime Working for you
- No Unreliable Freelancers
Senior
Prices From- Works to U.S time zones
- No Recruitment Fees
- Vetted Skills & Experience
- Fulltime Working for you
- No Unreliable Freelancers
With us, you can hire a AI Developer from South America!
Developer prices may vary depending on exact skill and experience requirements and availability.
You’ll have to decide which one works best for your project based on its specifics.
What does Python AI code look like?
Python has become one of the leading languages for artificial intelligence (AI) development due to its simplicity and flexibility, along with its vast selection of AI-related libraries and frameworks. It has robust support for integration with other languages and tools, and is widely used in a variety of AI applications ranging from simple scripts to complex machine learning and neural network processing.
Python’s popularity in AI and machine learning is also bolstered by its rich ecosystem of libraries. Libraries such as NumPy and Pandas simplify data manipulation and analysis, while SciKit-Learn provides tools for machine learning and statistical modeling. Additionally, frameworks like TensorFlow and PyTorch provide comprehensive platforms for designing and training complex neural networks.
Below is a simple example of how Python code could look when it’s using TensorFlow for a predictive model, and OpenAI API for text generation to enhance product descriptions. The code tries to improve descriptions of products based on previous customer conversion data.
import pandas as pd
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from openai import api
# Load the customer conversion data
data = pd.read_csv('customer_data.csv')
# Assuming the data has 'product_description', 'customer_reviews' and 'conversion_rate' columns
# We take 'product_description' and 'customer_reviews' as features and 'conversion_rate' as the label
features = data[['product_description', 'customer_reviews']]
labels = data['conversion_rate']
# Define a simple model for prediction
model = keras.Sequential([
layers.Dense(64, activation='relu', input_shape=[len(features.keys())]),
layers.Dense(64, activation='relu'),
layers.Dense(1)
])
optimizer = tf.keras.optimizers.RMSprop(0.001)
model.compile(loss='mse',
optimizer=optimizer,
metrics=['mae', 'mse'])
# Train the model with the features and labels
model.fit(features, labels, epochs=10)
# Now, we use the model to predict conversion rates for new product descriptions
new_product_desc = "This is a new product description."
new_customer_reviews = "These are new customer reviews."
# Predict the conversion rate
predicted_conversion_rate = model.predict([[new_product_desc, new_customer_reviews]])
# If the predicted conversion rate is less than desired, we will use GPT-4 to improve the product description
if predicted_conversion_rate < 0.6:
response = api.Completion.create(
model="text-davinci-004",
prompt=new_product_desc,
temperature=0.5,
max_tokens=60
)
# Print the improved product description
print(f"Original Description: {new_product_desc}")
print(f"Improved Description: {response.choices[0].text.strip()}")
What Interview Questions should you ask a Python AI developer before you hire them?
Hiring a Python AI developer involves assessing their technical skills in Python and AI algorithms, as well as their problem-solving abilities. Here are five potential interview questions and why they are important:
What is your experience with Python libraries such as NumPy, Pandas, TensorFlow, and Keras? Can you describe a project where you used these libraries?
This question helps you evaluate the candidate’s hands-on experience with essential Python libraries for AI. Their answer can shed light on their familiarity with data processing (NumPy, Pandas), and neural network creation and training (TensorFlow, Keras). The complexity and success of the projects they describe can also give you an indication of their competency level.
How would you approach the problem of overfitting in a machine learning model?
Overfitting is a common problem in machine learning where a model performs well on training data but poorly on unseen data. This question assesses the candidate’s understanding of this problem and their ability to implement strategies such as cross-validation, regularization, or early stopping to mitigate it.
Could you describe a time when you had to explain a complex AI model or concept to a non-technical person? How did you go about it?
This question helps assess the candidate’s communication skills, which are important for collaboration and explaining technical details and decisions to stakeholders. Their answer can show how well they can break down complex ideas into understandable terms.
Supervised and Unsupervised Learning are two foundational concepts in machine learning. This question gauges the candidate’s understanding of these concepts, and their ability to choose the appropriate learning strategy based on the problem and the available data.
Can you tell me about a time when you faced a problem and how you solved it?
A candidate will be able to demonstrate how they approach problems and how they solve them by answering this question. Solving problems under pressure will demonstrate their ability to work under pressure.
Moreover, this isn’t necessarily a AI programming issue. There is also the possibility of a problem with teamwork. It would be helpful for them to explain how they came to an agreement with a colleague if they disagreed on how to approach a specific problem.
By handling conflict well, they will demonstrate that they can work with others.
A Brief History of Python AI Development
Python has been a preferred language for AI development due to its simplicity, versatility, and the powerful suite of libraries it offers. Despite its late start compared to other languages, Python has carved a significant space for itself in AI and machine learning (ML). The language’s ease of learning and readability makes it an ideal choice for beginners and experts alike, making it a leading language in AI development.
Early Beginnings
Python was conceptualized in the late 1980s, with its implementation beginning in December 1989 by Guido van Rossum. Initially, Python was not the first choice for AI or machine learning applications due to performance issues. However, its philosophy of simplicity and readability, coupled with strong process integration features, unit testing framework, and control capabilities, made it popular among developers.
Rise in Popularity
The rise of Python in AI and ML began with the development of numerical computation libraries such as NumPy and SciPy, which provided the language with a solid foundation for scientific computing tasks. Following that, high-level libraries such as scikit-learn, which offered pre-programmed algorithms for ML, began to appear. This trend made Python a versatile choice for ML applications.
Python and Deep Learning
With the advent of deep learning, Python’s role in AI development further solidified. The introduction of libraries and frameworks such as TensorFlow, Keras, and PyTorch, which offer efficient and user-friendly interfaces for building and training complex neural networks, reinforced Python’s place in AI development. Today, Python is the go-to language for many AI researchers and practitioners around the world.
Why should you hire a Python AI Developer from us?
We offer competitive prices and experienced Python AI developers as a leading Nearshore Technology Solutions company. Providing high-performance, scalable AI development solutions to our clients is our goal.
With our AI development prowess and project management experience, we provide AI project acceleration or rescue. In the process of developing your AI project and beyond, we strive to add lasting value.
Over 100 startups and tech companies trust us to match Python AI developers with great teams around the world.
The Python AI developers we assign to your organization become devoted team members.
As part of our vetting process, we verify each Python AI developer’s communication skills, remote working readiness, and technical skills (both for Python and AI development, but also for knowledge of software development and computer science).
Cost Reduction
Companies usually outsource in order to reduce costs. Hiring Python AI engineers from outside the United States costs less. You will also significantly reduce overall employment costs. You won’t have to pay US or European employment taxes, benefits, redundancy liabilities, or office space.
Scale Fast
Expanding and downsizing quickly can be a great competitive advantage for any industry. Outsourcing Brazilian Python AI developers with us will allow your business to scale up or down as you need, and with relative ease.
Professional AI Experience
With AI development outsourcing, you’re entrusting your project to a company with extensive experience in helping businesses achieve their goals. As a result, you can feel more secure knowing that your AI project will be delivered on schedule and within budget.
What can you do with Python AI Development?
Python AI development enables businesses to solve complex problems and create value across many areas.
In marketing, predictive analytics can analyze customer behavior to optimize targeting and segmentation strategies. Natural Language Processing (NLP) can drive sentiment analysis, providing insights into customer opinions on social media or reviews.
In finance, AI algorithms can assist with fraud detection by identifying unusual patterns in transaction data. Automated trading algorithms can also be developed to make investment decisions based on market trends.
Supply chain operations can benefit from demand forecasting to optimize inventory levels and reduce waste. In healthcare, AI can aid in disease diagnosis by analyzing medical images.
- Chatbots for automated customer service.
- Recommendation systems for personalized shopping.
- Credit scoring for risk assessment.
- Natural language processing for translations.
- Autonomous vehicles navigation and control.
- Anomaly detection in network security.
How do we code test a Python AI Developer before we hire them?
As an AI outstaffing company offering outsourced staff, we understand the importance of thoroughly evaluating the skills and expertise of Python AI developers before recommending them to our clients. To assess their abilities, we follow a rigorous testing process.
First, we conduct a technical screening to assess their foundational knowledge of Python programming, AI concepts, and relevant libraries/frameworks. This includes evaluating their understanding of data preprocessing, model building, and evaluation techniques.
Next, we provide the candidate with a real-world AI problem statement. We ask them to develop a Python AI solution that addresses the problem, considering aspects like data preprocessing, model selection, training, and evaluation. This allows us to gauge their practical implementation skills and problem-solving abilities.
Additionally, we may request the candidate to explain and optimize an existing AI model or evaluate the performance of a given model using appropriate metrics.
Throughout the testing process, we emphasize the importance of clean, well-documented, and maintainable code.
By thoroughly testing Python AI developers, we ensure that our clients receive skilled professionals who possess the necessary expertise to handle AI projects effectively and deliver high-quality solutions.
How do you manage Python AI Developers after you hire them?
After hiring Python AI developers, effective management is crucial to ensure their productivity, growth, and successful project outcomes. Here is an overview of how we manage Python AI developers at our AI outstaffing company, along with five key aspects of our management approach.
Once hired, we establish clear lines of communication and provide an onboarding process to familiarize developers with our company’s culture, policies, and project management tools. We aim to create a collaborative and supportive environment for our developers.
Project Allocation and Goal Setting
We assign developers to suitable projects based on their skills, expertise, and project requirements. Clear project goals and objectives are established, and developers are provided with a comprehensive understanding of the project’s scope, timelines, and deliverables.
Regular Communication and Feedback
We maintain open channels of communication with developers through regular meetings, video conferences, and messaging platforms. We encourage them to share progress updates, challenges, and ideas. Feedback is provided on their work, allowing for continuous improvement and growth.
Skill Development and Training
We recognize the importance of ongoing skill development and training for Python AI developers. We provide access to relevant resources, online courses, workshops, and industry events to enhance their knowledge and stay up to date with the latest advancements in AI.
Collaboration and Knowledge Sharing
We foster a collaborative environment by encouraging developers to collaborate with teammates, data scientists, and other stakeholders. Regular knowledge-sharing sessions and cross-functional interactions help in sharing best practices, innovative ideas, and lessons learned.
Performance Evaluation and Recognition
We conduct periodic performance evaluations to assess the developers’ contributions, productivity, and adherence to project goals. Based on the evaluation, we provide constructive feedback and recognize their achievements. Recognitions can include performance bonuses, promotions, or opportunities to lead projects.
How long does the average Python AI Developer job last?
A Python AI developer in the US is most likely to stay in a company for 1.7 to 2.8 years after hiring. Larger companies tend to hire workers for longer periods of time. Brazil’s average stay is between 2.1 and 4.1 years, with Sao Paulo spending the shortest time. Before, people often spent their entire careers working for the same company.
A Senior Python AI Developer may move between jobs fairly quickly, seeking new opportunities and more money, as such longevity is no longer commonplace. In this market, the most in-demand AI pros can migrate between jobs (or freelancing) fairly easily due to a low unemployment rate and a desperate need for professionals with P, Python, AI and other critical skills. It is crucial for us to communicate with our employees and to offer perks that will attract and retain talented individuals.
Frequently Asked Questions (FAQs)
Our services are trusted by hundreds of startups and tech companies worldwide, and we have matched hundreds of skilled Python AI developers to great AI development teams in the US, UK and Canada. Every AI Python developer in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills, both for depth in AI and breadth across the greater Python programming domain.
At our outsourcing company, we ensure that our Python AI developers possess strong English language skills. We carefully evaluate their language proficiency during the hiring process to guarantee effective communication and seamless collaboration with our clients based in North America.
Being in South America we are only a few hours ahead and we understand the importance of overcoming time zone challenges. Our outsourcing company has a flexible working schedule that accommodates the needs of our clients in South America. We adjust our work hours allowing for real-time communication and collaboration during critical project milestones.
We have a diverse team of Python AI developers with expertise in various industries and domains. We carefully match the skills and knowledge of our developers with the specific requirements of your project. This ensures that they have a solid understanding of the industry or domain context, enabling them to deliver tailored solutions effectively.
We can work with you to scale the team down as needed and make sure you have the correct skills required for each project phase.
All Types! You can hire a Python AI Developer on a full-time, part-time, or contract-to-hire basis at Hire AI Developer. You can find a AI developer in a time zone that suits your needs thanks to our global network of skilled Python AI engineers. AI developers who work remotely for us are all mid- and senior-level professionals, ready to code right away.
