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Hire Generative AI Engineers

Generative AI is leading the way in making businesses more efficient. Partner with us to take advantage of this technology. Hire Generative AI Engineers from eSparkBiz to drive innovation through increased automation, efficiency and personalisation.

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  • 96% Employee Retention
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  • Agile Engagement, Swift Onboarding
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Leveraging Generative AI Capabilities for Future Proofing Your Business

Hire Generative AI Engineers at eSparkBiz to empower your business & differentiate themselves in their domains with powerful generative AI solutions.

Generative Artificial Intelligence (AI) generates responses after getting trained on datasets. The latest line of these models is driven by machine learning. Gen AI models can process text, images, audio and combinations of data thereof. This efficiency significantly improves creativity, facilitates collaborations and productivity across industries.

Generative AI implementation streamlines several processes. By introducing automation, the applications and models heighten efficiency. Businesses are thus able to benefit from the accelerated pace of tasks across functions. More and more enterprises today are using the capabilities of generative AI models for data classification, content creation, summarisation, and to respond to the concerns of their users.

At eSparkBiz, you can hire generative AI engineers who possess the knowledge required to develop, train, test and optimise models. Our solutions will help you serve the best experiences and reduce costs in the long term. We skillfully build Natural Language Processing software, LLMs, business automation apps, chatbots, applications forecasting trends, and more.

Hire Generative AI Engineers to leverage the Core Capabilities as follows:-

  • Hire generative AI developers for solutions that support your tasks with high accuracy.
  • We finetune our solutions based on your niche-specific data and optimise them to respond to your needs.
  • Get help with implementing generative AI in the cloud with the support of our consultants.
  • Every Gen-AI AI application that we build follows compliances, so you do not face any risks.
  • At eSparkBiz, we monitor your applications, update the models and create data retraining pipelines.

  • Advanced Programming Skills
    Every Gen-AI engineer in our teams has a deep understanding of Java, Julia, Python and C++ for developing models that can handle large datasets. We develop expert, rule-based systems with our ability to use a variety of programming languages.

  • Understanding of Deep Learning and Neural Networks
    We expertly navigate the complexities of Gen-AI development with our knowledge of deep learning. A strong knowledge of deep learning techniques like neural network architectures enables us to build models and systems that detect market trends and enhance your decision-making confidence.

  • Machine Learning Prowers
    We employ the principles of ML to develop AI models that facilitate businesses in various industrie to innovate. We can work on the most complex projects using our machine learning expertise and experience with supervised and unsupervised learning.

  • Proficiency in Tools for AI-Based App Development
    eSparkBiz's experts develop AI-powered apps within the stipulated timeline because of our knowledge of tools that streamline the building process. Tools such as Uizard, Pytorch and ML Kit pave the way for our efficient workflows. We use the software for training and inference of neural networks.

  • Problem-solving Skills
    eSparkBiz's generative AI team has strong problem-solving skills and thinks creatively. We can resolve any issue during the development process because of our ability to understand complex situations well.

  • Advanced Mathematics Knowledge
    We have mastery over advanced mathematics that underpins data science. We are well-versed in linear algebra, statistics, calculus, game theory, probability as well as logistic regressions.

  • Data Analytics Abilities
    Our solid background in data analytics and mining allows us to create tailored and intelligent AI-based architecture. We have a strong background in data science to assess data for business solutions.

  • Deep Understanding of Generative AI Algorithms
    Our engineers are acutely aware of the way generative AI algorithms and architectures like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) work to produce realistic yet novel content.

  • Ensuring Ethical Use of Artificial Intelligence
    eSparkBiz is committed to building AI models that are not biased and are free of discrimination. We proactively rectify biases with rigorous testing.

  • Proficiency in Generative AI Applications
    We have honed our skills in using and creating generative AI models that utilise huge datasets and neural networks to produce meaningful and relevant outputs for companies in different domains.

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Our Innovative Generative AI Solutions for Clients

Connect with eSparkBiz to hire generative AI engineers and set the groundwork for innovation. Our portfolio speaks volumes about our in-depth domain-specific skillset.

React JS Node Next JS

Electronic Connector Emporium – Seamless Shopping at Your Fingertips

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React Node Flutter

Dyshez – Revolutionizing the Food Industry

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Node Next JS AWS

EduRx – Learning Redefined, Systematized Perfectly

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React JS Angular Laravel

Samata Health – Medical & Healthcare Appointment Portal

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Electronic Connector Emporium – Seamless Shopping at Your Fingertips

An e-commerce web application named Electroshield presents connectors suitable for any electronic device. It has Buy and RFQ functions meaning you can shop with a single click of a button. The website offers a good customer value proposition through the variety of products and the unique content management system.

Technology
React JS Node Next JS
See the case study
Our Solution

The client wanted to create a modern e-commerce site for electronic connectors where buyers can Buy and place RFQs. They required a simple website with vast product catalogs, a seamless checkout process, and room for growth.

The client needed help with product database management, CMS development, user experience optimization, and traffic management. Thus, Our Next JS developers assisted in adding a solid database management system with indexing and caching, developing a custom CMS in JavaScript to provide flexibility, improving the interface and navigation and search, and using AWS and Microsoft Azure for a secure and scalable infrastructure. This solution provided a complete, highly efficient system that is capable of addressing the client’s requirements today and beyond.

Dyshez – Revolutionizing the Food Industry

Dyshez is an innovative app that reshaping dining experiences by connecting restaurants and patrons. It simplifies restaurant promotion and reservations while fostering a culinary community. Despite its promise, Dyshez faced challenges like data security, user adoption, and regulatory compliance in a fast-changing market.

Challenges:
The development team encountered difficulties integrating React.js, Next.js, and Flutter, slowing progress by 25%. Ensuring real-time data synchronization, cross-platform optimization, and resolving third-party library compatibility further complicated the process in an evolving tech landscape.

Technology
React Node Flutter
See the case study
Our Solution

We implemented an integration strategy with systematic testing, optimized real-time synchronization using WebSockets, and enhanced GraphQL performance with caching and batching. Flutter's cross-platform UI was tailored for different devices, while automated dependency tracking ensured compatibility of third-party libraries.

Implementation:
The team defined roles for each technology, ran integration tests, optimized data sync, and collaborated across teams to ensure smooth execution. Continuous teamwork and communication resolved technical hurdles, leading to successful integration and performance improvements.

Results:
Dyshez increased user engagement by 40% and customer satisfaction by 25%, boosting user retention from 50% to 75%. The app transitioned into a community-focused platform, setting a new standard in the dining app space with enhanced user experience and interaction.

EduRx – Learning Redefined, Systematized Perfectly

EduRx is a contemporary healthcare learning management website that promotes interaction and sharing of ideas among medical practitioners. The platform is built using Node.js, Next.js, and MongoDB frameworks. Through resources, forums, and events, EduRx offers an integrated platform for evidence-based learning. With AWS at its core and security at its heart, EduRx is revolutionizing the way healthcare education works.

Technology
Node Next JS AWS
See the case study
Our Solution

The client also had several critical problems with their healthcare education platform EduRx such as data security and compliance, permissions, collaboration, cross-platform integration, and content moderation. Our Next JS Experts addressed these issues by improving the encryption and security to levels acceptable for the healthcare sector. We also came up with a very complex role-based access control system to ensure that flexibility does not compromise security. WebSockets were used to provide real-time collaboration which in turn enhanced the fluidity of the user interface.

To ensure compatibility across different platforms and browsers, we implemented the RWD and strictly tested the interface on different platforms and browsers. We also used automated screening with human monitoring to ensure that the community experience was both positive and accurate. These solutions made EduRx a modern platform that can be distinguished in the sphere of healthcare education, collaboration, and decision-making, as well as the needs of its users.

Samata Health – Medical & Healthcare Appointment Portal

The inability to book medical appointments quickly is a prevalent issue. Phone bookings are time-consuming, and it takes a lot of back-and-forth calls to connect with the right medical professional. To bypass this issue, we developed Samata Health. The user-friendly tool allows you to book appointments online and manage them easily. It simplifies the entire process so you can get medical help in a timely manner.

Technology
React JS Angular Laravel
See the case study
Our Solution

Many clients face issues because of delayed medical appointments. The problem is even more intense with those who need to seek help from mental health therapists. We found a solution to this problem by building Samata Health. Our Angular Development team integrated the web application with automated scheduling and simple, centralised documentation.

We also equipped it with payment options so the user can reliably make payments. Besides, Samata Health features a platform for therapists and social media to create a community of users. The application especially makes the lives of employees and students who want to book mental health appointments easier.

Our Suite of Expert Generative AI Services

We specialise in ideating and building top-notch generative AI solutions for every industry. Our personalised solutions and extensive services keep businesses on track to continuous innovation.

Data Analysis

Domain-specific LLM Development

Generative AI Solution Development

Strategy Development and Consulting

Integration and Optimisation

Performance Monitoring

System Architecting

Model Fine-tuning

Upgrade and Maintenance
Data Analysis
Data Analysis Domain-specific LLM Development Generative AI Solution Development Strategy Development and Consulting Integration and Optimisation Performance Monitoring System Architecting Model Fine-tuning Upgrade and Maintenance
Data Analysis

Generative AI plays a predominant role in assessing, processing and visualising data. From better data preprocessing and producing data for training models to automating analytics processes, generative AI for data analysis opens up a range of new opportunities. With this technology, making data-driven decisions at scale ceases to be difficult.

When you hire generative AI engineers at eSparkBiz, exploring the numerous possibilities with your data becomes easy. Our teams assist you with advanced data analytics services. We build powerful models that use data insights to impart you a strategic edge in your domain.

  • We are adept at developing products with LLM, machine learning, LLM, computer vision, time series modelling and predictive modelling.
  • Our solutions and models allow you to make sense of complex data and obtain invaluable insights.
  • Automate your communications and get insights from text data with our expertise in Natural Language Processing (NLP).
  • Our solutions will allow you to personalise your customer experiences by predicting their behaviour and also promote data-induced decision-making.
  • We can build data analytics chatbots that answer user's queries in natural language and provide them with the needed assistance.
Domain-specific LLM Development

Domain-specific LLMs or large language models are trained to do defined tasks dictated by the company-specific guidelines. The models have many capabilities and play a major role in tasks like text generation and complicated problem-solving. Domain-specific LLMs help organisations overcome the challenges associated with using generalist LLMs.

Our engineers possess in-depth experience in designing domain-specific LLMs. We can produce a new AI model or fine-tune an LLM that is pre-trained. Our skills ensure that the content generated from the LLM is highly precise and relevant to your needs.

  • We build and train LLMs to analyse, summarise and produce content as per the patterns it detects within a corpus of text sources.
  • Our engineers clean and preprocess extracted text before putting it into the LLM pipeline to ensure the quality of the collected data.
  • We create LLMs that are aligned with the complexities of your domain so you get the most accurate content.
  • We use the Retrieval-augmented generation technique to level up the quality of your LLM's responses.
  • Our engineers create models that make data interactions more intuitive and assist you in crafting highly relevant content.
Generative AI Solution Development

Companies that harness generative AI can build strong industry-specific solutions that impart an edge in their domains. Businesses in entertainment, healthcare, gaming, manufacturing and design benefit from our Generative AI Development solutions to get past their unique challenges. However, this development demands knowledge of an exhaustive tech stack.

Enterprises that hire generative AI developers at eSparkBiz get personalised AI solutions. We use top tools like TensorFlow, PyTorch, Docker, Kubernetes and more to build powerful solutions for businesses across domains. Our solutions maintain high performance and are reliable in every situation.

  • Our AI solution development services cover conceptualisation, testing and implementation of generative AI solutions.
  • Optimise your product engineering and research and development (R&D) workflows with our generative AI-based solutions.
  • We build strong and scalable architecture so your solution can process huge data volumes.
  • We deploy generative AI solutions in a way that eliminates all chances of failures and errors.
  • Simplify intricate processes and build operational efficiency with our impactful AI solutions.
Strategy Development and Consulting

Generative AI holds many possibilities to bolster business operations and improve outcomes. However, in order to unlock its efficiency, you need to enforce the correct measures. Expert consultants enable businesses to realise the huge potential of generative AI and meet their challenges and growing demands.

At eSparkBiz, our Generative AI Consulting Experts have been providing strategic guidance to enterprises about the many ways generative AI can be harnessed. We identify how it can be used in your company, choose foundation models, optimise and deploy them. We guide you on integrating generative AI so you are able to lead the most innovative projects.

  • We assess your technology and make implementation plans for generative AI solutions.
  • Our in-depth feasibility studies explore the viability of enforcing generative AI.
  • Our engineers maintain the data privacy for your solutions and ensure complete system compliance.
  • We build tailored models using your industry's proprietary data to help you perform particular tasks productively.
  • We fine-tune algorithms and provide technical support for the consistent performance of our deployed solutions.
Integration and Optimisation

Incorporating generative AI into the existing workflows and operations of businesses needs careful consideration. It is imperative to be mindful of variables like latency, resource usage and privacy in this process. Besides, in order to optimise the AI solutions, feeding high quality and well governed data is crucial.

As you hire generative AI engineers, we make sure to integrate LLMs and solutions into business workflows without any disruption. Our iterative Generative AI Integration approach to integration eliminates all likelihood of errors and makes way for efficient artificial intelligence systems. This increases the applicability of our models for challenging real-world cases.

  • We train our generative AI models before integration using proper algorithms.
  • Our engineers optimise your models for inference speed, optimal usage of memory and resource efficiency.
  • We eliminate redundant code and use efficient computing practices so that AI models operate in a reliable way.
  • Our chosen tech stack for optimising AI models and solutions is exclusive to the enterprise we work with.
  • We iteratively improve and optimise your AI models to meet dynamic requirements.
Performance Monitoring

Monitoring generative AI models validates their behaviour and reliability. Periodic monitoring identifies data drift or deterioration in the model's performance. Without it, the models can produce misleading answers and give responses influenced by subjective prompts.

Hire Generative AI Engineers with us as we routinely monitor and upgrade generative AI models. We track the functionality and performance of the models and take steps to improve them. We proactively resolve issues so that the solutions keep giving you valuable outcomes.

  • We are experienced in monitoring any kind of large language model which includes image generation tools and models in the GPT family.
  • We use a series of carefully defined metrics to assess the responses of LLMs based on specific prompts.
  • We design your AI model in a way that evaluation and monitoring become more systematic.
  • Our generative AI engineers set alerts for violations based on the business targets in the LLMs and solutions.
  • We use the Observability approach to detect unforeseen problems in our AI models proactively.
System Architecting

Generative AI architecture comprises the structure and parts of developing and implementing artificial intelligence models. There are many distinct layers in the architecture, and every layer has a specific role. The underlying architecture prompts the models to produce creative and new content.

Businesses wanting to leverage data insights and augment data analysis should hire Generative AI developers at eSparkBiz. We excel at delivering sophisticated AI Consulting Services that serve varying business goals. Our architects build systems that increase productivity, improve decision making and drive revenue.

  • We are experts at architecting backend systems to deploy intelligent AI LLMs and models.
  • Our teams specialise in developing cutting-edge frameworks for training and inference of generative AI models.
  • We create a strong unstructured data strategy that corresponds with the structured data strategy and brings the most value from unstructured data.
  • In order to manage costs and retain performance, we use cloud infrastructure to train models and for inference activities.
  • We design generative AI systems so that the models can handle sensitive information appropriately.
Model Fine-tuning

Fine-tuning means customising pre-trained generative AI models for particular tasks. The process makes an existing model adjust to a highly focused goal. In addition, fine-tuning makes the AI models conducive to generating contextually relevant responses.

eSparkBiz as a AI Consulting Company offers extensive fine-tuning services for generative AI models. Our domain expertise and prompt engineering expertise allow us to enhance the impact of your AI models. During fine-tuning, we also assess and eliminate vulnerabilities in your generative AI applications.

  • Our fine-tuning support ensures that your models are free of hallucinatory content or responses that are biased.
  • We engineer prompts, improvise responses and check facts during fine-tuning.
  • Our professionals use advanced prompting methods to refine the language and context of the system for nuanced responses.
  • We perform several iterations of fine-tuning with incremental improvements to enhance the model's efficiency.
  • The fine-tuned models also undergo evaluation using a validation set, and key performance metrics are monitored.
Upgrade and Maintenance

Generative AI applications offer the most value when they are routinely upgraded and maintained. The models work optimally and serve the changing needs of businesses and their end users. Upgrades applications thus keep you on the path of innovation.

Hire Generative AI Developers at eSparkBiz as we are committed to keeping our clients ahead in their domains. Our upgrade and maintenance services keep your solutions fully updated, ensuring that the systems perform as intended and satisfy users' expectations. Our consistent monitoring facilitates us to tackle any kind of issue in the solutions.

  • We proactively iterate and improve the outputs produced by the models and AI apps.
  • While upgrading your models, we ensure that they abide by the AI governance framework.
  • Our teams continuously look for vulnerabilities in the models and problems in the output and proactively address them.
  • We make sure that the upgraded models are ethical and align with societal values.
  • We introduce stronger data security measures when upgrading your generative AI models.

Partner with Experts to Accelerate Your Generative AI Journey

Clutch Generative AI Rating

4.9(Excellent)
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Our Meticulous Generative AI Development Process

We efficiently build solutions and models following a strategic process. Our approach empowers our clients to resolve their challenges. We help you get ahead no matter your challenges or the environment's competitiveness.

1

Project Discovery

When you hire generative AI developers at eSparkBiz, we'll develop a defined approach to action. We study your requirements and outline the scope of your project for optimal gains.

2

Strategy Building

We perform a feasibility study before getting started. It enables us to acquire data that will be used for your generative AI solution. We communicate and document all the abilities of our products clearly.

3

Design and Development

Our teams use their skills and long-standing experience to build architecture and algorithms for your solutions. Our goal at every step is always to maximise the efficiency of your model.

4

Testing

eSparkBiz's engineers work agilely and perform different tests on your product. Our testing processes ensure that every component of the system is well-integrated and free of errors.

5

Deployment and Optimisation

When the testing ends, we make the generative AI models go into the production environment. Further, we keep fine-tuning them. The optimisation processes enhance the efficiency and performance of your systems.

6

Integration and Support

Our experts integrate the final AI models in small steps into your workflows. We create pilot programs and small projects so that the final integration takes place successfully.

Hire Generative AI Engineers for Cutting-Edge Solutions

Drive efficiency in your operations, handle complex tasks and provide the best support to your users with a range of generative AI solutions. eSparkBiz's experts are here to help you build ingenious systems and solutions.

Leverage Our Generative AI Engineer Expertise

Chatbots

Hire generative AI engineers from eSparkBiz to build intelligent chatbots that enhance the satisfaction of end users. Our chatbots simplify communication, resolve problems and help you enhance your brand perception among your audience.

Predictive Analytics

Forecast demand, detect fraud, mitigate risks and improve your operations with our predictive analytics models. Our competency in machine learning and data mining allows us to create models that fuel the most meaningful insights.

Voice Assistants

Deliver the best customer service and win the trust of your audience with our Gen-AI voice assistants. We create voice assistants that offer personalised experiences to your users and encourage them to interact more with your services.

GPT Integration

Get intuitive applications that harness the efficiencies of GPT by OpenAI. Hire generative AI developers from us to build powerful language models that can understand users' queries deeply and provide human-like accurate answers.

Large Language Models Integration

Reduce your compliance risks and offer a tailored experience to your customers with our large language models. We integrate sophisticated models into your applications to make them robust. Such apps provide the most relevant responses.

AI Companion App Development

Our engineers craft AI Companion applications with immersive functionalities. We ensure that the apps are equipped with strong natural language processor that allows realistic conversations with people and just repetitive sentences.

Discover Generative AI's Potential for Your Industry

Generative AI applications extend across industries. Hire Generative AI Engineers who improves processes, handles complex tasks and empowers enterprises to deepen their relationships with their audience base.

Banking and Finance

Bring the power of automation to regulatory analysis with our Gen-AI solutions. Simplify regulatory processes, ensure compliance and preserve your profitability by integrating AI-based solutions and models.

Retail

Generative AI assists you in getting accurate predictions according to sales data, seasonality and trends. Retail businesses can use the insights from AI to create appealing design options, develop personalised marketing strategies and offer custom recommendations.

Healthcare

AI-based automation and data-driven suggestions make patient care more bespoke and accurate. Get help with optimising treatment approaches and forecasting the progression of illnesses with Gen-AI processes.

Supply Chain and Logistics

Forecast demand, plan production and scheduling and produce risk assessment strategies using our generative AI processes. AI helps you gain insights from supplier interactions and take steps to improve your relationships.

Insurance

AI-based chatbots allow insurance professionals to facilitate meaningful and helpful interactions with users. With efficient generative AI models, you can automate repetitive processes and simplify claims management.

Manufacturing

Generative AI improves many manufacturing processes, which, in turn, brings cost efficiency, reduces downtime and improves overall output. Transform your maintenance workflows and offer real-time support to your vehicle owners using AI.

Automotive

Inject intelligence into your vehicles and create personalised driving experiences by embracing AI. Hire generative AI engineers from eSparkBiz to make your vehicles capable of reacting to unpredictable situations.

Hospitality

We build intelligent generative AI solutions to ease various tasks in the hospitality sector. Our AI-based chatbots, virtual assistants and predictive analytic models allow professionals to improve their service quality.

Real Estate

Gen-AI tools from eSparkBiz can generate property descriptions from images, create property visualisations, and answer buyers' common queries. Our models can also forecast trends and protect your agency from fraud.

Media & Entertainment

Dynamically generate personalised content using AI. We build models that facilitate gaining a better understanding of audience preferences and trends. Thus, offering tailored content becomes

Travel

AI and ML make travel planning a lot easier. You can hire generative AI engineers from eSparkBiz to create models that produce unique itineraries, personalised travel recommendations and dynamic tour pricing.

Legal

Generative AI makes it easy to analyse a corpus of legal documents and conduct due diligence in corporate mergers. With AI, imparting legal education and acquiring knowledge in complex areas ceases to be challenging.

Leverage Our Industry-Specific Capabilities

Our Generative AI Capabilities

eSparkBiz has expertise across all parts of the Generative AI services. Below are some of our expertise areas that we use regularly to deliver awesome AI projects.

Frameworks
Tools
Models
Management
Data
Cloud
Testing
Frameworks
Frameworks Tools Models Management Data Cloud Testing

DL Frameworks

Our expertise with deep learning frameworks like TensorFlow, PyTorch, Keras, etc, helps our developers create sophisticated neural networks for the custom requirements of our clients.

  • TensorFlow
  • PyTorch
  • Keras
  • MXNet

Integration & Deployment Tools

We use integration tools to ensure that all the projects are safe to integrate new features. Our expertise in integration allows us to use multiple models to create better generative AI models that are much more stable than our competitors.

  • OpenAI
  • Docker
  • Kubernetes
  • Git

Generative AI Models

We have delivered projects with various Generative AI models, such as GPT-, GPT-4, LaMDA, Dall.e AI, etc. Our capabilities to create text—and graphic-based generative AI models have helped our clients fully utilize the power of these models.

  • GPT 3
  • GPT 3.5
  • GPT 4
  • LaMDA
  • Dall.E

Data Processing & Management

Our AI engineers are experienced with various data processing and management tools, such as Python, Hadoop, Pandas, etc. This helps us handle large amounts of data efficiently and process it for our AI models.

  • Python
  • Pandas
  • NumPy
  • Hadoop

Data Visualization

We use different visualization tools like matplotlib, seaborn, Tableau, etc, to present large amounts of data perfectly. Our insightful visualizations are easy to follow and understand.

  • Matplotlib
  • Seaborn
  • Tableau

Cloud Services

If you are looking to leverage cloud services like AWS, Google Cloud, or Azure, we can help you extract the best performance from them. We have engineers who can set up entire Generative AI infrastructure in the cloud and deliver seamless solutions.

  • AWS
  • Google Cloud
  • CloudAzure

Testing & Integration

We test and integrate generative AI models through our robust testing process. We also use tools like Jenkins, Travis C, and others to automate the testing, integration, and deployment of your new models.

  • Jenkins
  • Travis C

Why Hire Generative AI Engineers from eSparkBiz?

eSparkBiz has a world-class team of developers and solution architects. We effectively comprehend your needs and cater to them. Hire generative AI engineers from us and witness the difference we bring with our extensive expertise.

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Collaborative Excellence & Problem-solving Ability

Our AI experts work effectively as part of teams. We collaborate proactively to ensure the best solution outcomes. We blend our creativity with our expertise in resolving problems of any kind.

Knowledge of ML and Other Technologies

We have deep technical knowledge of the top technologies used in generative AI applications. Our strong base in Gen-AI development tools, frameworks, algorithms and machine learning leads to the creation of sophisticated LLMs and systems as per your needs.

Understanding of Generative AI Tools

We adeptly use the latest generative AI tools in building top-notch solutions. The usage of generative AI tools expedites the development of tailored models and also lets us build applications that are exclusive to the needs of various industries on time.

Deep Familiarity with Gen- AI Algorithms

We have complete competency in machine learning algorithms to create new and highly relevant content. This allows us to develop models and systems that keep generating responses fulfilling user's queries when given different prompts.

Data Mining and Analytics Capabilities

We build best-in-class predictive analytics models that function as sources of insights because of our data mining and analytics knowledge. A sound foundation in advanced mathematics makes us build systems that can access volumes of data and discover useful patterns.

We Prioritise Excellence

Hire generative AI developers from eSparkBiz for the most value-driven solutions. We are known for delivering excellence in every solution or system that we create. Our services are geared to enhance satisfaction and promote business growth.

What Makes Us The Best Technology Partner For You?

Traditional hiring processes often rely on resumes and interviews, while modern approaches leverage coding challenges and behavioral assessments. Modern methods at eSparkBiz also emphasize cultural fit and teamwork. And here you go with a brief Understanding on the two hiring processes..

Descriptions
Traditional Hiring
Recruitment Process
Efficient process, leveraging tech industry expertise.
Time-consuming hiring process
Time to Hire
Within 48 hours
1-4 Weeks
Flexibility
Scalable Team Adaptability.
Fixed In-House Team Structure.
Pre-Screened Candidates
Deep Technical Validation
Extra Costs
Low
High
Risk Management
Low
Medium
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Frequently Asked Questions

How do I hire generative AI developers from eSparkBiz?

Hire generative AI developers from eSparkBiz's team in a full-time or part-time format. We can function as a dedicated team for your projects or augment your staff on a need basis to support the development of AI-based applications and models.

How much does a Gen-AI solution cost?

The exact cost of a Gen-AI model or solution can be specified after a consultation with your chosen service. Factors like algorithm, model, type of platform used, content type and the expertise of generative AI engineers influence the overall cost. So, it is best to define your requirements in order to get a precise cost estimate.

How can your generative AI consultants assist my business?

Our consultants will enable you to understand generative AI and its use case for your organisation. Our teams build a roadmap for implementing predictive models through which you can uncover insights for business progress. We also offer training to your staff, so it becomes easy to navigate the complex generative AI landscape.

Can you integrate generative AI into our legacy environment?

We analyse the current functionalities of your existing legacy applications and find areas where AI can optimise the process. Hire Generative AI Developers to convert the current rules and logic into AI models. Also, we provide solutions through which integrating Gen-AI into legacy systems becomes smooth and non-disruptive.

Will my startup benefit if I hire generative AI engineers?

Certainly, startups can hire generative AI developers to automate tasks and offer the best customer service. In addition, tasks like research and content creation can be expedited with the help of generative AI solutions.

Are there any limitations of generative AI?

Generative AI has an array of abilities and excels in performing several tasks. However, the models cannot be used for strategic decision-making or for resolving ethical problems. You cannot rely on Gen-AI to tackle real-world issues that require an in-depth contextual understanding.

In which circumstances do APIs need to be used with generative AI?

The need for APIs arises when we need to incorporate the efficiencies of generative AI into different applications for the automated production of responses in the form of text, graphics, audio and video. APIs allow us to unlock generative AI's potential without extensive resources to train AI models.

How do you mitigate risks associated with generative AI security?

Our experts implement generative AI governance frameworks and tooling to use the technology securely and responsibly. We set up procedures to make our models and solutions ethical, dependable and transparent. Measures like vulnerability testing and monitoring dubious behaviour of applications also mitigate the risks associated with security.

How do your engineers source data for Gen-AI projects?

We first determine the tasks that your Gen-AI application needs to perform and then specify use cases to collect appropriate datasets. Our engineers use techniques like web scraping and data annotation services to source training data effectively for the models.

Does eSparkBiz's Experts offer services remotely?

Yes. You can hire generative AI engineers at eSparkBiz to get assistance for building your solutions remotely. We have arrangements to effectively communicate with clients, no matter where they reside. There will be no sacrifice in your product's capabilities as we work on it remotely.

How do you deploy generative AI models at scale successfully?

We use different approaches to deploy generative AI models at scale. Our teams use a distributed training approach or training the solution on different machines parallely and a cloud-based platform approach. It involves using the resources offered by cloud platforms to train and deploy generative AI-based models at scale.

How will you collaborate with our software development team to build generative AI models?

eSparkBiz has long-standing experience in collaborating with in-house software development teams of our clients to craft robust applications. Hire generative AI engineers who respectfully offer their expertise in ML, data preprocessing, sourcing and model assessment metrics to an enterprise's software development team. We always recognise the contributions made by other team members in the development process.

Can generative AI implementation increase technical debt?

Yes. If organisations try to adopt the capabilities of generative AI hastily and mould the models to their requirements without considering long-term implications, then it will lead to technical debt. Besides, not examining the quality and diversity of training data can also lead to the accumulation of technical debt because of biased output.

How do you adapt generative AI for resource-constrained settings?

We streamline generative AI to operate in resource-constrained environments using techniques like model compression, efficient algorithmic design, edge computing, pruning and quantisation. We create lightweight and more accessible AI models that do not face issues while functioning in low-resource environments.

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