Trusted By
  • Trusted By
  • mercedes
  • Warner Bros
  • disney
  • dubai bazaar
  • red bull
  • 3m

Services Our Machine Learning Engineers Offer

At KAS, we have the best machine learning developers, skilled and experienced in working with different industry verticals. Hire Machine learning engineers from us to develop innovative, creative, and futuristic solutions meeting your expectations.

We offer ML consulting services to companies looking for strategic consulting or expert opinions on adopting, integrating, developing, and implementing intelligent machine learning models required to automate, optimize, and modernize business products and services. Hire machine learning consultants from us to bring your out-of-the-box ideas to life.

Hire Machine Learning Engineers to Build End-to-End ML Solutions

At KAS, we have a team of dedicated, passionate, and best-suited ML developers with hands-on experience in using the latest tools and ML technologies. Hire ML developer from us to turn your idea into reality with the top-of-the-line solutions.

Schedule A Developer Interview and Get 15 Days Them

We ensure you’re matched with the right talent based on your requirement.

Your Success Is Guaranteed !

We accelerate the release of digital products and guarantee your success

We Use Slack, Jira & GitHub for Accurate Deployment and Effective Communication.

Technical Expertise Of Our Dedicated ML Developer

We use best-in-class tools, state-of-the-art technologies and modern approaches to scale up your business

Languages Python R C++ JavaScript Kotlin Java Golang Scala
Frameworks Tensorflow Mahout Caffe Mxnet Rasa Flask Pytorch
Libraries Pandas SpaCy Scikit-learn NumPy Matplotlib OpenCV NLTK Asyncio SciPy Ggplot2 Dash Plotly Streamlit Gradio Spark MLlib Theano Keras Gensim Seaborn
Algorithms Regression Ridge & Lasso Regression Support Vector Machines Stochastic Gradient Descent Ada-Boost XGBoost FastLinear Regression Logistic Regression Decision Tree SVM Naive Bayes kNN K-Means Random Forest
Network Architecture ResNet RNN CNN Regression models Categorization models GAN NeRF Clustering algorithms YoloNet AlphaPose Skeleton detection Pose2Seg RetinaFace U-Net DBSCAN
Data Set ImageNet MSCOCO MNIST CIFAR-10 Pascal VOC Kaggle Earth Data
OCR Pytesseract Amazon Extracts Google Vision
Communication Tools AWS Azure Google cloud
Platforms Google Meet Zoom GotoMeeting
Packages NLTK Genism TextBlob Keras Spacy Imultils Pytessarct Matplotlib OpenCV
Coding Standards AutoPEP8 Pylint Black Flake8
Tools and Technologies Spark Hadoop Apache Kafka IBM Watson MATLAB Jax SAS IBM SPSS MySQL Google Big Query Power BI Tableau `Vertex AI
PM Tools Jira Trello Slack Asana Azure DevOps Hubstaff Tasks
Communication Tools Slack Hangout
Meeting Google Meet Zoom GotoMeeting

Our Amazing Customer Success Stories

Check out these awesome ML solutions we have built for our valuable clients to solve real-life problems and help them overcome start-up challenges

Customer Segmentation
Customer Segmentation

RETAIL & ECOMMERCE

Customer Segmentation

Core Technologies - Python | PowerBI | JupyterNotebook

Our client was interested in running targeted marketing campaigns by segmenting them into different homogenous groups. We used the customer database to get the RFM values and, with a customized SQL query, pulled the data to a CSV file for RFM analysis in Python. Using the Jupyter Notebook, we did EDA and calculated the RFM values.

Video Transcript Summarization
Video Transcript Summarization

EDUCATION

Video Transcript Summarization

Core Technologies - Python | NLP | Flask

We developed an NLP model to create a YouTube video summary and generate QnA for a Europe-based educational institution. To ensure the YouTube transcript summary matches the user-defined length, we used both - Extractive and Abstractive summarization techniques. For the QnA generation, we used BART.

Category Prediction
Category Prediction

IT

Category Prediction

Core Technologies - Python | NLP | Rasa | Flask | MatPlotLib

We were asked to develop a company category prediction for one of our valuable clients based in the USA. To work upon their request, our Data science developers used an additive model- boosted tree regression (BRT) model, which uses decision trees to learn and predict the category of the company by fetching and analyzing the metatags from the company website's homepage. About the results we brought, the working accuracy score of the company category prediction model was 70%.

Machine Learning Project Process We Follow

Explore and Define

1. Explore and Define Explore and Define

Our ML Engineers start by analyzing your business needs and evaluating the existing tech infrastructure. Then they identify the data sources, define the project's scope, and create a wireframe of objectives, milestones, deliverables, and timeframe.

Design Solution

2. Design Solution Design Solution

Depending on the findings in the previous stage, our ML developers create a solution architecture, analyze the precise ML methodology, and select the best tech stack. They also consider the possible challenges and find ways to overcome them.

Data Preparation

3. Data Preparation Data Preparation

Here, our ML engineers clean, annotate and transform the data to feed into ML models. At this stage, our ML developers finalize the design and architecture of the ML model they will be building.

Model Building

4. Model Building Model Building

We develop ML models. We feed data to the ML models that were kept ready in the previous stage. We test the model and iterate wherever and whenever necessary to ensure the ML model performs at the highest degree of accuracy.

Model Training

5. Model Training Model Training

Our ML engineers then proceed further with appropriate ML algorithms to train the ML model and ensure it learns from supervised and unsupervised ML techniques. We train the ML models until the results are satisfactory.

Integration & Deployment

6. Integration & Deployment Integration & Deployment

After testing the performance of ML models, our ML engineers wrap the source code of the ML model to integrate it into the existing solution and publish it. Once the model is deployed, we test it again and iterate it if necessary.

Support

7. Support Support

We continue to monitor and enhance the solution by upgrading it regularly and adding new features. We keep adding new data sets, test the model's performance and provide ongoing support.

Why Hire ML Developers from KAS?

At KAS, we have a team of highly skilled machine learning engineers proficiently using the ML & DL tech stack for delivering Custom AI/ML automation solutions to all shapes and sizes of businesses.

Being a top-notch ML development company, we provide the best remote ML engineers following a seamless hiring process. Hire the best ML developers from us that fit your business goals and result in a more significant positive return on investment.

Say goodbye to your worries and find a top machine learning engineer on the go. Know why big brands love to hire freelance machine learning engineers from us:

Why Hire ML Developers from KAS?

Benefits Of Hiring ML Engineers From Us

  • Agile methodology
  • Flexible hiring model
  • Large technical pool with a wider tech stack
  • A team that stays on top of the latest trends in ML
  • Experience in working with different industries
  • Dedicated project manager support
  • Work at your time zone
  • Source code authorization
  • No contract lock-ins
  • 100% client satisfaction ratio
Hire ML Developers

Frequently Asked Questions

Still have questions? Let’s talk

The highly-skilled, experienced, and certified Machine learning developers at KAS possess the technical knowledge necessary for offering ML development services across a spectrum of industries, businesses, and applications. Hiring ML experts from us can help you with an existing project/ solution or will develop or customize an ML solution from scratch. Hire dedicated Machine Learning developers from KAS, and they will start speaking your language, understanding your needs, and customizing product development using flexible engagement models.