ML Model Engineering Services
With deep expertise in machine learning frameworks and libraries, NLP, deep learning, data visualization/processing tools, and DevOps, we build powerful machine learning models that can drive transformative business outcomes. Whether you want to build a custom ML model from scratch, optimize an existing one, or deploy it in the cloud, we have you covered. Our custom ML models, including generative AI models, multimodal models, transformer models, and recommender systems, are optimized for business-specific use cases.
Software Products Delivered
Total Years of Experience
Our ML Model Engineering Services
Custom Model Development
Our ML model engineering services specialize in custom model development, covering all aspects of the ML lifecycle, such as data collection, data preparation, model training, model testing, deployment, and monitoring. Following the ML lifecycle, we can ensure the model is developed to meet the client’s specific needs and perform as expected.
Our model optimization services are designed to help you get the most out of your existing machine-learning models. We use advanced techniques such as transfer learning, ensembling, and pruning to fine-tune your models, improving their accuracy and performance to help you achieve desired results.
We excel at deploying machine learning models into production environments, ensuring optimal performance and seamless integration. Whether it’s in the cloud or on-premises, we fine-tune your models to deliver exceptional results. We aim to provide efficient and reliable model integration services, enabling you to maximize the value of your models for your business.
Model Maintenance and Monitoring
We offer comprehensive machine learning model maintenance and monitoring services, ensuring your models are continuously optimized for performance and efficiency. Our team closely monitors the performance and accuracy of the models and re-trains them as needed to maintain optimal performance.
Our ML Model Engineering Expertise
Our ML engineers demonstrate a deep understanding of statistical analysis and probability theory, along with expertise in Python, R, and Java programming languages, which enables them to develop reliable ML models and evaluate their performance accurately.
Our ML engineers have expertise in monitoring and maintaining models for optimal performance and accuracy. They fine-tune models as needed, using various techniques such as hyperparameter tuning, transfer learning, ensembling and pruning.
Our data engineers leverage their knowledge of data processing frameworks, such as Apache Spark and Hadoop and perform tasks such as data cleaning, feature extraction and data visualization to preprocess and analyze the data effectively.
Expertise Across Industries
Our team of ML engineers with experience working across industries such as healthcare, finance and e-commerce, leverage their domain expertise and knowledge to develop custom ML models that meet the unique needs of each business, including regulatory requirements.
Our developers’ experience deploying and scaling cutting-edge AI solutions has given them in-depth knowledge of all major cloud computing platforms, including AWS, Google Cloud and Microsoft Azure.
With a deep knowledge of software engineering principles and practices, including version control, testing, and deployment, our ML engineers ensure that ML models are developed in a controlled environment and tested thoroughly, ensuring the final product meets the highest quality standards.
Why Hire LeewayHertz for ML Model Engineering Services?
With a strong track record in ML model engineering, involving developing and deploying models in diverse industries, our engineers have the required technical skills, which include expertise in programming languages, machine learning algorithms, data preprocessing and cloud computing.
We have robust data security protocols in place to protect your sensitive data throughout the model engineering process. We maintain stringent data security measures such as access control, authorization and authentication that ensure your data is encrypted, backed up and secured, preventing unauthorized access.
End-to-End Solution Development
Our full-cycle solution development services include ideation, development, testing, deployment, and maintenance. We work closely with clients to understand their requirements and business objectives and offer upgrade services to ensure the solution can keep pace with the rapidly evolving technology space to ensure it’s future-ready.
Our focus on infrastructure as a key component of ML model engineering has enabled us to build a world-class hardware and software infrastructure that features high-performance computing, distributed computing, and large-scale data processing capabilities, making it possible to support even the most complex and demanding ML projects.
AI Models We Have Expertise in
A set of OpenAI models capable of performing natural language processing tasks such as text generation, summarization, translation and question answering.
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.
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 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 is a general-purpose speech recognition OpenAI model that can perform language identification, speech translation and multilingual speech recognition.
OpenAI's Embeddings are numerical representations of linguistic units like words and phrases that capture the semantic meaning and relationships between them.
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.
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.
Our ML Model Engineering Tech Stack
Data Processing and Preparation
ML Libraries and Frameworks
Monitoring and Tracking Tools
Our Artificial Intelligence Portfolio
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.
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.
AI SEO Optimizer
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.
Big Brands Trust Us
Our Engagement Models
Dedicated Development Team
Our blockchain developers are hands-on the cognitive technologies to deliver high-quality services and solutions to clients.
Our team extension model is intended to help clients who want to extend their team with the right expertise required for their project.
Our project-based model and software development specialists are there for customer collaboration and specific client project engagement.
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
Once you let us know your requirement, our technical expert will schedule a call and discuss your idea in detail post sign of an NDA.
All information will be kept confidential.
What is ML model engineering?
Machine learning (ML) model engineering is a technical process that involves various steps, including data collection and preprocessing, model selection, training, deployment and monitoring. It aims to develop effective and efficient ML models to solve specific problems and meet diverse business use cases. This process requires a range of technical skills, including expertise in programming languages, data structures, algorithms and ML frameworks.
What industries do you work with?
We work with various industries, including finance, healthcare, retail, and manufacturing. Our team has experience in developing ML models for a variety of use cases, including fraud detection, predictive maintenance, and NLP-based tools.
What are the benefits of hiring professional ML model engineering services?
Hiring a reputed company for ML model engineering services can offer several benefits, such as access to a team of experienced data scientists and engineers, a faster time to market for your ML models and access to the latest tools and technologies in the field.
How do you ensure the security of my data?
We take data security very seriously and have robust protocols in place to protect your sensitive data throughout the ML model engineering process. This includes measures such as data encryption, access controls, and regular security audits.
What is your approach to ML model development?
Our approach to ML model development is based on industry best practices, including iterative development, continuous testing and evaluation, and close collaboration with the client to ensure that the model we develop meets their specific business needs.
How long does it take to develop an ML model?
The timeline for developing an ML model can vary depending on the project’s complexity and data availability. However, we typically follow an agile development process and provide regular updates to our clients throughout the development cycle.
What are neural networks? How do they work?
Neural networks, referred to as artificial neural networks (ANNs), are computational models that mimic the structure and operations of the human brain.
Bridging the AI-human communication gap: A comprehensive guide to prompt engineering
Prompt engineering is the practice of designing and refining specific text prompts to guide transformer-based language models, such as Large Language Models (LLMs), in generating desired outputs.
Streamlining document workflows: The power of Intelligent Document Processing (IDP)
IDP is an AI powered document processing technique that not just scans and captures structured, unstructured and semi-structured data, but also understands it deeply.