Hire AI Engineers
Boost your company’s technical capabilities by hiring our AI engineers proficient in frameworks like PyTorch, TensorFlow, and Caffe. With expertise in AI technologies like Machine Learning, Neural Networks, Deep Learning, Computer vision, data mining, analytics, and visualization, our AI engineers develop highly user-focused, data-driven AI solutions.
Fullstack Developers
Software Products delivered
AI Solutions
Total Years of Experience
We Drive Your AI Capabilities to New Heights With the Versatile Skillsets of Our AI Engineers
Elevate your strategic development with cutting-edge AI solutions by harnessing the skills of our AI engineers and accelerate your business growth.
Why Hire AI Engineers from LeewayHertz?
Proficient in Probability and Statistics
Hire AI engineers from LeewayHertz, who, with their proficiency in probability and statistics, build robust AI models like Hidden Markov, Naive Bayes, and Gaussian Mixture and ensure their smooth functioning by implementing model evaluation criteria using statistical methods.
Expertise in Programming Languages
Our AI developers are proficient in programming languages such as Python, C++, R, Java, etc., using which they build complex AI algorithms, speed up the coding process, and implement statistical models and plots, mappers and reducers.
Advanced Proficiency in Distributed Computing
Our AI developers having deep knowledge of distributed computing, can effectively manage large datasets and deploy AI models across multiple systems. Their experience in data management also enables them to preprocess and manipulate data for use in AI models efficiently.
Conversant in Advanced Signal-processing Techniques
Our AI developers thoroughly understand various complex signal processing methods, including bandlets, wavelets, curvelets, shearlets, and contourlets, along with a strong foundation in concepts like Convolution, Fourier Analysis and time-frequency analysis, which they use to build projects that solve real-world problems.
Knowledgeable in Data Engineering Methods
Our AI developers use tools like AWS S3, AWS Redshift, Power BI, Tableau, and Open CV to build ETL pipelines that process, purify, and retain data for other applications like analytics and predictions.
Expertise in AI Models
Our AI engineers are proficient in machine learning algorithms and techniques required for building robust AI models. With extensive experience in training, testing, and deploying AI models using various machine-learning frameworks and libraries, they ensure your project’s success.
AI Models We Have Expertise in
GPT-3
A set of OpenAI models capable of performing natural language processing tasks such as text generation, summarization, translation and question answering.
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Davinci
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Curie
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Babbage
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Ada
GPT-3.5
A set of OpenAI models, including the highly capable and cost-effective Gpt-3.5-turbo, that improve on GPT-3 and can generate text or code.
GPT-4
A set of OpenAI models that can solve complex problems with high accuracy, thanks to its advanced reasoning capabilities and broader general knowledge.
DALL.E
DALL·E by OpenAI generates realistic images and artwork based on text prompts. It can produce images of a specified size, modify pre-existing images and generate variations of user-provided images.
Whisper
Whisper is a general-purpose speech recognition OpenAI model that can perform language identification, speech translation and multilingual speech recognition.
Embeddings
OpenAI's Embeddings are numerical representations of linguistic units like words and phrases that capture the semantic meaning and relationships between them.
Moderation
Moderation models are machine learning OpenAI models designed to assist in content moderation tasks, such as identifying and removing inappropriate or harmful content from online platforms.
Stable Diffusion
Midjourney
Bard
Google's Bard, powered by LaMDA, is a text-to-text generative AI chatbot designed to generate human-like responses to natural language prompts, making it capable of engaging in conversations with humans.
LLaMA
Our AI Development Technology Stack
Programming Languages
AI Development Tools
Data Warehousing and Management
Integration and Deployment Tools
Cloud Computing Platforms
Data Visualisation and Reporting Tools
Machine Learning Platform
Algorithms
Supervised/unsupervised learning
Clustering (density-based, Hierarchical, partitioning)
Metric learning
Few-shot learning
Our AI Engineers Have In-depth Knowledge in Developing AI Application in Following Categories
Marketing: AI for Real Time Data
- We build apps to help companies in their marketing and sale. We use real-time data, Web data, historical purchase data, app use data to predict user behavior, and buying decisions.
- Monitor consumer trends
- Deeper Understanding of Your Consumers
- Real-Time Conversations with Consumers
Retail Sales: AI for Voice and Image Search
- We develop voice-enabled applications for retail of different sizes: small size to mid-size and enterprise ones.
- Better Customer Support via Chatbots
- Virtual Trial Rooms
- Smoother operations
AI in Healthcare
- Our AI engineers build apps for healthcare companies that help them improve medical imaging, medical research and Patient Risk Identification.
- Fast & Accurate diagnostics
- Reduce Human errors
- Virtual Presence
Customer Support: AI for Natural Language
- By implementing AI technology across customer support operations, we build applications that work on natural language processing to identify problems and engage in automated conversations
- Higher customer satisfaction rates
- Automated conversations
Financial Service: AI Enables Intelligent Processing
- We develop smart applications for the personal finance field that helps users manage their savings and investments intelligently with automated payments and improves budget planning.
- Automated report generation for Monthly Investments
- Tracking bills of different cards on a single app
Supply Chains: AI for Management
- Our AI engineers help companies improve transparency across the supply chain, bring security to the ecosystem, and automate warehouse and logistics processes.
- Warehouse Automation
- Logistics processes
Hire AI Engineers in 4 Steps
When you send us an inquiry and connect with us to share your project requirements with our experts., we share the CVs of our AI engineer who have the skill set that your project requires. Once you shortlist CVs of AI engineers you wish to work with, you can interview them. Once our Engineer qualify your requirements, you can hire them for your project and they work for you as your extended team.
Our Artificial Intelligence Work
ReCrisp
AI SEO Optimizer
Vrapy
Automated Attendance via Face Recognition
Vrapy is a revolutionary platform that uses facial recognition technology to automate attendance tracking. The platform offers a range of features including 100% automation, integration with existing cameras, mobile device detection, and real-time attendance alerts. Vrapy also provides insights into attentiveness levels and detects theft and violent behavior. With its heatmap generation feature, Vrapy provides valuable insights into space utilization, making it a comprehensive solution for attendance tracking.
MakeMyTale
The AI-Powered Story Creation Platform
MakeMyTale is a cutting-edge story creation and sharing platform that leverages advanced AI technology to deliver a truly personalized experience. Its user-friendly interface empowers users to shape the theme and characters of their story with ease. The platform’s AI-powered audio and video creation capabilities bring stories to life by generating captivating audio and visual versions. Additionally, the option for co-authoring enables seamless sharing with a global audience.
Hi Arya!
World’s First Robotic Tea Maker
Arya is the First Chai making robot having the capabilities of AI. It can detect a user’s face using computer vision and reply back with an exact recipe name by predicting the user’s behavior using Machine Learning(ML). It uses Speech recognition and NLP to interact with the user to take the next order.
What Our Customers Say
Big Brands Trust Us
Get Started Today
1. Contact Us
Fill out the contact form protected by NDA, book a calendar and schedule a Zoom Meeting with our experts.
2. Get a Consultation
Get on a call with our team to know the feasibility of your project idea.
3. Get a Cost Estimate
Based on the project requirements, we share a project proposal with budget and timeline estimates.
4. Project Kickoff
Once the project is signed, we bring together a team from a range of disciplines to kick start your project.
Start a conversation by filling the form
All information will be kept confidential.
Frequently Asked Questions
Who are AI engineers?
AI engineers are professionals who design, develop, and implement artificial intelligence systems and solutions. They combine their computer science, mathematics, and engineering knowledge to build systems that can perform tasks that normally require human intelligence, such as recognizing patterns in data, making predictions, and making decisions.
AI engineers typically have a strong background in computer science and mathematics, as well as experience in programming and software engineering. They work on various AI projects, including developing machine learning algorithms, building computer vision systems, and integrating AI systems into existing software applications.
What technologies are your AI engineers proficient in?
Our AI engineers have a deep understanding of how artificial intelligence operates in the real world. They are skilled in theoretical concepts and programming languages used in AI model building, such as Java, Python, and R, and are also capable of creating effective models using frameworks such as PyTorch, TensorFlow, and Caffe. In addition, our engineers are competent in data mining, data analysis, and data visualization. Other critical areas of expertise include mathematics, statistics, computer science, and cognitive science.
Why should I hire AI engineers from LeewayHertz?
You should hire AI engineers from LeewayHertz because of the following reasons
- Access to a Dedicated Team
LeewayHertz provides a dedicated and efficient team of AI engineers based on your project requirements. If your requirements change, you can scale up or down the team according to your needs. - NDA Protection
We maintain our clients’ information confidentiality by signing an NDA document. It implies that we agree not to disclose confidential information about your project. - Source Code Ownership
You will own the source code delivered by our AI engineers. We always ensure we never use your source code for any other project. - On-Time Deployment
Our AI engineers team is very hard working and always ensures to deliver our clients’ projects within the decided time frame. - Communication and Reporting
We use Slack and Zoom for communication and Jira, Asana, and Teamwork for better project reporting.
How can I hire a dedicated team of AI engineers from LeewayHertz?
You can hire dedicated AI engineers from LeewayHertz by following our simple four-step process:
- Inquiry
Get in touch with us and discuss your business requirements. - Select CVs
We will provide you with resumes of our AI engineers and their previous work, from which you can shortlist engineers. - Take an Interview
Once you have selected the CVs, you can interview the shortlisted AI engineers to learn about their experience, work ethics and working methodologies. - Hire the Resource
After the interview phase, you can go ahead and hire the AI engineers you find most efficient and suitable for your project.
Are your AI engineers screened and vetted?
Yes, our AI engineers undergo thorough screening and vetting processes that ensure their technical expertise and professional background.
Can I see the portfolio and experience of the AI engineers before hiring them?
Yes, we provide detailed profiles of our AI engineers, including their portfolios, work history, and technical skillset to help clients decide better.
Insights
Data annotation: The key to AI model accuracy
Data annotation is adding labels or tags to a training dataset to provide context and meaning to the data.
Optimizing pre-trained models: A guide to Parameter-efficient Fine-tuning (PEFT)
Parameter-efficient Fine-tuning (PEFT) is a technique used in Natural Language Processing (NLP) to improve the performance of pre-trained language models on specific downstream tasks.
How to build a private LLM?
Language models are the backbone of natural language processing (NLP) and have changed how we interact with language and technology.