
Leveraging our profound knowledge in machine learning frameworks and libraries, natural language processing (NLP), deep learning, data visualization and processing tools, and DevOps, we create potent machine learning models capable of catalyzing transformative business results. Whether you need to develop a bespoke machine learning model from the ground up, refine an existing one, or deploy it in a cloud environment, we provide comprehensive support. Our tailored machine learning models, such as generative AI, multimodal, transformer, and recommender systems, are fine-tuned for specific business applications.


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8+
Years of Experience
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Countries serviced
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Projects completed
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Developers
ML Model Engineering Services by Digital Engine

Custom Model Development
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Our machine learning (ML) model engineering services focus on custom model development, encompassing the entire ML lifecycle, including data collection, data preparation, model training, model testing, deployment, and monitoring. By adhering to the ML lifecycle, we guarantee that the model is tailored to the client's specific requirements and operates effectively.

Model Integration
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We specialize in deploying machine learning models into production settings, guaranteeing peak performance and smooth integration. Regardless of whether deployment is in the cloud or on-premises, we meticulously adjust your models to achieve outstanding outcomes. Our goal is to offer effective and dependable model integration services, helping you to fully leverage your models' value for your business.

Model Optimization
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Our model optimization services aim to maximize the efficacy of your existing machine-learning models. Employing sophisticated methods like transfer learning, ensembling, and pruning, we refine your models, enhancing their accuracy and performance, and assisting you in attaining your targeted outcomes.

Model Maintenance and Monitoring
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We provide extensive maintenance and monitoring services for machine learning models, ensuring they are constantly optimized for performance and efficiency. Our team meticulously tracks the models' performance and accuracy, re-training them as necessary to sustain peak performance.
Our ML Model Engineering Expertise

Machine Learning
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Our machine learning (ML) engineers possess a profound grasp of statistical analysis and probability theory, coupled with proficiency in programming languages like Python, R, and Java. This combination of skills enables them to construct dependable ML models and assess their performance with precision.

Data Engineering
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Our data engineers utilize their expertise in data processing frameworks like Apache Spark and Hadoop to conduct tasks including data cleaning, feature extraction, and data visualization. This allows them to preprocess and analyze the data effectively.

Cloud Computing
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Our developers, skilled in deploying and scaling advanced AI solutions, have acquired comprehensive knowledge of all major cloud computing platforms, such as AWS, Google Cloud, and Microsoft Azure.

Model Fine-tuning
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Our machine learning (ML) engineers are skilled in monitoring and maintaining models to ensure they operate at peak performance and accuracy. They fine-tune models as necessary, employing a range of techniques like hyperparameter tuning, transfer learning, ensembling, and pruning.

Expertise Across Industries
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Our team of machine learning (ML) engineers, with experience spanning industries like healthcare, finance, and e-commerce, leverages their domain expertise to create custom ML models tailored to the specific needs of each business, including adherence to regulatory requirements.

Software Engineering
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Our machine learning (ML) engineers, well-versed in software engineering principles and practices like version control, testing, and deployment, ensure that ML models are developed in a controlled environment and undergo thorough testing. This guarantees that the final product adheres to the highest quality standards.
Why Hire Digital Engine for ML Model Engineering?
Technical Skills
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Our engineers, with a solid history in machine learning (ML) model engineering across various industries, possess the necessary technical skills. This includes proficiency in programming languages, machine learning algorithms, data preprocessing, and cloud computing, equipping them to develop and deploy models effectively.


End-to-End Solution Development
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Our full-cycle solution development services encompass ideation, development, testing, deployment, and maintenance. We engage closely with clients to grasp their specific requirements and business goals. Additionally, we provide upgrade services to ensure the solution remains relevant and can adapt to the fast-paced evolution of technology, making it future-ready.

Data Security
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We implement strong data security protocols to safeguard your sensitive information throughout the model engineering process. Our rigorous data security measures include access control, authorization, and authentication, ensuring that your data is encrypted, backed up, and secure, thereby preventing unauthorized access.

Infrastructure
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Our emphasis on infrastructure as a crucial element of machine learning (ML) model engineering has led us to establish a top-tier hardware and software infrastructure. This infrastructure boasts high-performance computing, distributed computing, and extensive data processing capabilities, allowing us to accommodate the most complex and demanding ML projects effectively.
AI Models We Have Expertise In

GPT-4
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A collection of OpenAI models that, because of their enhanced general knowledge and sophisticated reasoning abilities, are very accurate at solving complicated issues.

LLaMA​
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A basic large language model called LLaMA (Large Language Model Meta AI) can create text, hold conversations, summarise textual content, solve mathematical theorems, and predict protein structures.

PaLM 2​
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The most recent version of Google's comprehensive language model excels in carrying out complex reasoning tasks like code interpretation, mathematical solutions, classification, answering queries, and multilingual translation. This model, which outperforms earlier attempts at natural language production, demonstrates Google's dedication to ethical AI.

Claude​
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Anthropic's Claude is a large language model (LLM) that was developed as a virtual assistant and is compatible with business processes. Claude can be accessed in Anthropic's developer console via both an API and chat interface. It is capable of handling a wide variety of conversational and text-processing tasks.

DALL.E
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Based on language prompts, OpenAI's DALL·E produces realistic visuals and artwork. It can create photos with a given size, edit already-existing images, and create several versions of images that the user uploads.

Whisper​
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Whisper is an OpenAI model for general-purpose speech recognition that can also translate speech, identify languages, and recognize speech in many languages.

Stable Diffusion​
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In addition to producing detailed images in response to text cues, Stable Diffusion can be utilized for tasks such as text-guided image-to-image translations and inpainting.

phi-2​
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Phi-2 is a sophisticated 2.7 billion parameter Transformer that performs close to top-tier on important language understanding and reasoning benchmarks. It is enhanced with a variety of NLP data.

Google Gemini
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Gemini is a family of multimodal large language models developed by Google DeepMind, serving as the successor to LaMDA and PaLM 2. Comprising Gemini Ultra, Gemini Pro, and Gemini Nano, it was announced on December 6, 2023.

Vicuna​
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Vicuna is a chatbot designed for AI, NLP, and machine learning research. It is based on Llama 2 and was improved with user interactions via ShareGPT. Its target users are researchers and enthusiasts in these fields.

Mistral-7B-v0.1
Mistral-7B is a decoder-based LM that performs two tasks: it creates material and modifies it by categorizing user prompts and answers into groups that include illicit acts such as fraud, child abuse, and terrorism.

bloom-560m
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In addition to direct language exploration, the Bloom-560M model serves specific tasks including information extraction, question answering, and summary for public research in text generation and analysis.
Our Technology Stack for ML Model Engineering
ML Libraries



Data Processing & Preparation



Data Storage
DevOps



Cloud Providers



Visualization Tools


Monitoring & Tracking Tools


Some of Our AI Projects
LLM-powered Application for Safer Machinery Troubleshooting

Clinical Decision Support System driven by GenAI

App for Compliance and Security Access Powered by LLM

Our Unique Engagement Ecosystem
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Discovery Consultation​
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Embark on a personalized journey with a discovery consultation tailored to your business needs. Our experts delve deep into understanding your goals, challenges, and aspirations, laying the foundation for a unique engagement strategy.
Dedicated Development Team
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At Digital Engine, our adept developers seamlessly integrate avant-garde cognitive technologies, sculpting a tapestry of high-quality services and bespoke solutions meticulously crafted for our esteemed clients' digital aspirations
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Custom Solution Crafting​
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Our team meticulously crafts bespoke solutions designed exclusively for your business landscape. Leveraging cutting-edge technologies and innovative approaches, we tailor our services to seamlessly align with your objectives and vision.
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Agile Developmental Framework​
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Embrace agility with our development framework, ensuring adaptability to evolving project dynamics. Witness a transparent, iterative process that prioritizes feedback, incorporates changes seamlessly, and delivers tangible results at every milestone.

Continuous Communication Channels
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Stay connected with our dedicated communication channels for regular updates and interactive feedback, fostering a collaborative partnership at every step.

Performance Optimization and Growth Strategies
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Beyond project completion, our commitment extends to performance optimization and growth strategies. Benefit from post-engagement support, data-driven insights, and ongoing enhancements to ensure your digital journey continues to evolve and thrive.

Let's Work Together

1. Contact Us
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Fill out the Contact Form and get in touch with us
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2. Get a Consultation
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Get on a call with Digital Engine's experts

3. Get aCost Estimate​
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For your project needs, we offer a tailored proposal with budget and timeline details.

4. Project Launch​
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After project approval, we assemble a cross-disciplinary team to initiate your project.
We Build for You. Whatever You Need!
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