1. ML Model Engineering Services leewayhertz.com/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. Lets Discuss Fullstack Developers Software Products Delivered AI Solutions 1/19

2. 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. Model Optimization 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. Model Integration 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 2/19

3. 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 Machine Learning 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. Model Fine-tuning 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. Data Engineering 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 3/19

4. 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. Cloud Computing 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. Software Engineering 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? Technical Skills 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. Data Security 4/19

5. 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. Infrastructure 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 GPT-3 A set of AI models capable of performing natural language processing tasks such as text generation, summarization, translation and question answering. Davinci Curie Babbage Ada 5/19

6. GPT-3.5 A set of 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 models that can solve complex problems with high accuracy, thanks to its advanced reasoning capabilities and broader general knowledge. DALL.E DALL·E 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 model that can perform language identification, speech translation and multilingual speech recognition. Embeddings Embeddings are numerical representations of linguistic units like words and phrases that capture the semantic meaning and relationships between them. Moderation 6/19

7. Moderation models are machine learning models designed to assist in content moderation tasks, such as identifying and removing inappropriate or harmful content from online platforms. Stable Diffusion Stable Diffusion Stable Diffusion generates detailed images from text prompts and can also be used for tasks like inpainting, outpainting, and image-to-image translations guided by text. Midjourney Midjourney is an AI-powered image generator that creates images in response to textual prompts. The images produced by Midjourney feature a distinct artistic flair. Bard 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 LLaMA (Large Language Model Meta AI) is a foundational large language model designed to generate text, have conversations, summarize written material, solve math theorems or predict protein structures. Our ML Model Engineering Tech Stack Data Storage 7/19

8. Data Processing and Preparation ML Libraries and Frameworks DevOps Tools 8/19

9. Cloud Infrastructure Visualization Tools Monitoring and Tracking Tools TensorBoard Our Artificial Intelligence Portfolio 9/19

10. 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. Learn More 10/19

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12. 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. Learn More 12/19

13. ReCrisp AI SEO Optimizer ReCrisp is an AI-powered keyword optimization tool that helps businesses boost their search engine rankings and drive organic traffic to their website. It uses the latest advancements in AI to provide highly accurate optimization suggestions for easy optimization without technical expertise. With continuous optimization, ReCrisp keeps your website up-to-date with search engine algorithms while saving you time and resources with its efficient optimization process. ReCrisp, with its highly user-friendly interface, helps you optimize your website for maximum visibility and improved performance. Learn More 13/19

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15. 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. Learn More Big Brands Trust Us 15/19

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17. Our Engagement Models Dedicated Development Team Our blockchain developers are hands-on the cognitive technologies to deliver high-quality services and solutions to clients. Team Extension Our team extension model is intended to help clients who want to extend their team with the right expertise required for their project. Project-based Model 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 17/19

18. 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. FAQs 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? 18/19

19. 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. 19/19