Hire AI Engineers: Artificial Intelligence Developers for Fintech

Looking for experienced AI engineers to supercharge your project? Our experts bring proficiency in various technologies, including TensorFlow, Scikit-learn, PyTorch, OpenAI, and more. From developing chatbots to deploying predictive analytics and enhancing workflows, hire our AI engineers at a daily rate to move your project forward.

Hire AI Engineers: Core Technical Domains

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Machine Learning and Deep Learning

  • Developing and fine-tuning algorithms for classification, regression, clustering, and neural networks using frameworks like TensorFlow, PyTorch, and Keras.

  • Creating models for predictive analytics, recommendation systems, and anomaly detection.

Natural Language Processing (NLP)

  • Implementing and optimizing NLP algorithms for text analysis, language translation, and sentiment analysis using tools like NLTK, SpaCy, and OpenAI's GPT.

  • Building chatbots, voice assistants, and other language-based AI applications.

Computer Vision

  • Developing image and video analysis systems for object detection, recognition, and segmentation using OpenCV and specialized deep learning models.

  • Applications include facial recognition, autonomous driving, and medical imaging.

Your Steps To Hire AI Engineers

STEP 1

Call us and define your project

Tell us more about your needs on a discovery call! Within 24 hours, we’ll discuss your project requirements, success criteria, timescale, budget and required skill sets to see how we can help.

STEP 2

Get the developers you need

Through our careful vetting process, we identify AI engineers whose skills and soft skills match your project’s specific requirements. Interview and evaluate these engineers based on technical and company fit.

STEP 3

Seamless integration

Once chosen, our AI engineers blend into your team effortlessly, providing the support and innovation you need to drive your project forward, typically within just 7 days.

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Hire AI Engineers for Algorithm and Model Development

Algorithm Development and Optimization

Crafting and refining machine learning algorithms for maximum efficiency and/or accuracy. AI engineers can also engage in research and experimentation to enhance current models.

Feature Engineering and Selection

Identifying and creating the most relevant features from raw data to improve model performance. This involves applying techniques to select the best subset of features that enhance the predictive power of models.

Data Engineering and Preprocessing

Gathering, cleaning, and prepping data for analysis and model training.

This involves leveraging big data technologies such as Hadoop, Spark, and SQL databases to manage and preprocess extensive datasets.

AI System Integration and Testing

Integrating AI solutions into existing systems and workflows.

Conducting comprehensive testing to validate the performance and robustness of AI models within different environments and use cases.

Ethics, Security, and User Experience

Implementing security measures to protect AI models and data. Ensuring compliance with privacy regulations and protecting sensitive information.

Developing intuitive interfaces and user experiences for AI applications. Ensuring that AI systems are accessible and user-friendly.

Complex AI Projects

As part of a collaboration with Bluebird, I had the opportunity to participate in several projects where we trained LLMs (Large Language Models) used by well-known tech giants to generate (program) source code.

In these projects, our task was to devise software problems where the problem description required complex language, posing a challenge for the models to understand, and for which assembling the solution was not a straightforward process.

The next step was writing the source code that provides an optimal solution to the problem formulated in the previous step, using Java, Python, and SQL. Essentially, we simulated a conversation with the AI, starting with a problem statement and then providing a solution, that is, we created prompts. In certain projects, this had to be divided into a 5-10 step process, and in each step, refining and modifying the source code according to the given rules until it reached its final form in the last step.

I also worked on several projects where we assembled coding prompts focused on Data Science. Here, coding in Python, using NumPy, Pandas, Matplotlib, and Seaborn libraries, we had to clean and transform the given data before further processing, then answer the predefined analytical questions based on the data.

This work required a lot of creativity and concentration, and it was challenging to come up with unique, sufficiently complex prompts week after week.

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Zsolt Horvath | Bluebird

Software QA Team Lead (AI)

Zsolt Horvath LinkedIn profile – AI Engineer – Bluebird

Hire AI Engineers to Contribute to These Products (and more)

1. Recommendation Systems

AI engineers can enhance recommendation systems used by platforms like Netflix, Amazon, and Spotify. They develop algorithms that analyze user behavior and preferences to suggest relevant products, movies, music, or content.

Thanks to these improvements, you get more accurate and relevant recommendations, resulting in boosted user engagement and satisfaction.

2. Chatbots and Virtual Assistants

By implementing natural language processing (NLP) algorithms, AI engineers enable these systems to understand and respond to user queries effectively. This results in more conversational and intuitive virtual assistants, enhancing user interaction and support.

3. Fraud Detection Systems

AI engineers are crucial in developing fraud detection systems for banking and financial institutions. They build machine learning models that analyze transaction data to identify patterns and anomalies indicative of fraudulent activities.

These advanced models help reduce false positives and accurately detect fraudulent transactions, protecting customers and financial assets.

4. Autonomous Vehicles

AI engineers play an important role in developing computer vision and sensor fusion technologies, which enable vehicles to accurately perceive their surroundings. 

5. Healthcare Diagnostics

These experts are needed to develop models that can analyze X-rays, MRIs, and CT scans to detect abnormalities such as tumors or fractures. These tools assist healthcare professionals in making faster and more accurate diagnoses, directly improving patient care.

6. Personalized Marketing

AI Engineers can design algorithms that analyze customer data to create targeted marketing campaigns and personalized content. This targeted approach allows businesses to reach their audience more effectively.

Hire AI Engineers for Fintech Projects

1. Credit Scoring and Risk Assessment

AI engineers can enhance recommendation systems used by platforms like Netflix, Amazon, and Spotify. They develop algorithms that analyze user behavior and preferences to suggest relevant products, movies, music, or content.

Thanks to these improvements, you get more accurate and relevant recommendations, resulting in boosted user engagement and satisfaction.

2. Fraud Detection

Building machine learning models that detect fraudulent transactions in real-time is a key area for AI Engineers. They use techniques like anomaly detection and neural networks to identify unusual patterns and flag potentially fraudulent activities.

3. Algorithmic Trading

AI engineers are crucial in developing fraud detection systems for banking and financial institutions. They build machine learning models that analyze transaction data to identify patterns and anomalies indicative of fraudulent activities.

These advanced models help reduce false positives and accurately detect fraudulent transactions, protecting customers and financial assets.

4. Customer Service Automation

Developing AI-powered chatbots and virtual assistants that handle customer inquiries efficiently.

5. Personalized Financial Advice

Another area where AI Engineers have an important role. They create systems that offer personalized financial advice based on an individual’s financial situation and goals. Analyzing spending habits, income, and market trends, these systems provide personalized recommendations for investments and savings.

6. Regulatory Compliance

AI engineers can also work on systems that help financial institutions comply with regulations by automating monitoring and reporting tasks. These systems analyze transactions and communications to detect compliance issues, reducing the risk of regulatory violations.

Why Hire AI Engineers through Bluebird

1

1st REASON

Trusted by Global Fortune 500 Companies

Proven track record in providing IT professionals for big brands like Blackrock, Ford, and GE.

2

2nd REASON

Impressive 95% Success Rate

Your projects are our top priority, and we take pride in delivering skilled IT professionals with a 95% success rate.

3

3rd REASON

IT Professionals Introduced in Just 7 Days

We prioritize speed without sacrificing quality, aiming to integrate AI talent into your team within 7 days. Onboard your new team members, manage performance, and scale your headcount as needed.

4

4th REASON

Diverse Talent Pool

We have a wide-reaching network of experienced AI professionals with varied skills and backgrounds.

5

5th REASON

Precision in Talent Matching

We prioritize a close match between the AI engineers' skills and your exact project requirements.

6

6th REASON

Comprehensive Support

From the day our experts start work on your project, our account managers offer continuous support to make sure everything goes smoothly.

7

7th REASON

Timezone Compatiblity

We offer engineers who can work within a 4-8 hour overlap with your team's schedule.

Aiming to add permanent members to your team?

Tech Recruitment

Would you like to expand your team with permanent hires? We have all the resources, domain-specific expertise and over a decade of experience to find the right remote IT/ tech professionals for you.

Looking to integrate AI engineers into your team at a daily rate?

IT Staff Augmentation

Add our experienced AI engineers to your team for any duration you need. Our professionals will fit right into your workflow while we manage all the administrative details.

CONTACT US

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Hire AI Engineers: FAQs

What does an AI Engineer do?

AI Engineers are specialists who apply artificial intelligence and machine learning methodologies to build applications and systems. Their work aims to enhance organizational efficiency, reduce costs, boost profits, and facilitate more informed business decisions. These engineers play an increasingly key role in shaping the technological strategies of companies across various industries.

How much coding is involved in AI engineering?

Coding is an essential and significant part of an AI engineer's role. These professionals spend a considerable amount of their time writing and refining code as they design, develop, and deploy AI systems and applications. The result: intelligent solutions that can automate tasks, analyze vast datasets, and solve complex problems across various domains.

 

How do AI Engineers differ from Machine Learning engineers?

AI engineers handle a wide range of tasks across various types of machine intelligence, including neural networks. Their goal is to create AI models for specific applications, using all available AI technologies.

In contrast, machine learning engineers focus mainly on developing and fine-tuning machine learning algorithms and models. These models are designed to learn and make predictions from large datasets automatically.

While both roles use data and algorithms, AI engineers typically cover the entire field of artificial intelligence, whereas machine learning engineers specialize in the details of machine learning.

What skills are essential for an AI Engineer in the fintech sector?

An AI engineer in the fintech sector should possess a deep understanding of machine learning algorithms, data analytics, and programming languages such as Python and R. In addition to that, knowledge of financial principles, cybersecurity measures, and regulatory compliance is also important in this field.

These skills let AI engineers create solutions that are not only technologically advanced but also matched to the unique challenges of the fintech industry.

How do I get started with Bluebird?

Getting started is easy! Contact us through our website or give us a call. We will discuss your project needs carefully and match you with the perfect AI Engineers—or other tech experts you need.