bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions.​
Our goal is to 'Deliver in time-every time'.
For more details visit our website: www.bebotechnologies.com
Let's have a 360 tour of our bebo premises by clicking on below link:
https://www.youtube.com/watch?v=S1Bgm07dPmMKey

Key Responsibilities:

• Experience with NetSuite ERP implementation and customization
• Proficient in SuiteScript (1.0, 2.0) for custom solutions
• Expertise in workflows, saved searches, and SuiteTalk (Web Services)
• Strong knowledge of NetSuite financial modules (GL, AR, AP)
• Experience with SuiteCommerce, dashboards, and report customization
• Skilled in NetSuite integrations using RESTlet and SOAP
• Proficient in SuiteBundler for custom bundle deployment
• Familiarity with Order to Cash, Procure to Pay, and ARM processes
• Hands-on with role configuration, access management, data migration, and CSV imports
• Expertise in form/record customization and troubleshooting script errors
• Knowledge of SuiteFlow for process automation
• Provide technical guidance in sales, demos, and solution design
• Architect and configure NetSuite solutions, including customizations and integrations
• Guide best practices in configuration, migration, and integration
  

bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions.​

Our goal is to 'Deliver in time-every time'.

https://www.youtube.com/watch?v=S1Bgm07dPmMKey

Key Responsibilities:

• Lead AI/ML Algorithm Development: Design, develop, and optimize machine learning algorithms.
• Architect High-Performance AI Solutions: Architect and implement high-performance software solutions for AI applications, focusing on scalability, efficiency, and accuracy.
• Drive Innovation: Stay current with the latest advancements in AI frameworks, flows, and compilation techniques. Contribute actively to developing best practices.
• Develop Scalable Solutions: Design and develop scalable AI and machine learning solutions using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Natural Language Processing Expertise: Utilize NLP techniques and frameworks (e.g., NLTK, SpaCy) for text analytics and sentiment analysis.
• Computer Vision Applications: Apply hands-on experience with computer vision frameworks (e.g., OpenCV, TensorFlow Object Detection API) for image and video processing tasks.
• Cloud Deployment: Deploy machine learning models in cloud environments using platforms such as:
• AWS: SageMaker
• Google Cloud: AI Platform, Vertex AI
• Azure: Azure Machine Learning
• IBM: Watson Machine Learning
• Alibaba Cloud: Machine Learning Platform for AI (PAI)
• Oracle Cloud: Data Science
• H2O.ai: H2O Driverless AI
• DataRobot: Automated Machine Learning (AutoML)
• Google Colab: For collaborative development
• Reinforcement Learning: Implement reinforcement learning algorithms and apply them to real-world scenarios.
• Data Pipelines and ETL: Implement and optimize data pipelines and ETL processes for machine learning workflows using tools such as Apache Airflow or equivalent.
• Model Evaluation: Use performance evaluation metrics and techniques for model selection and tuning.
• Containerization: Utilize containerization technologies (Docker, Kubernetes) for packaging and deploying AI/ML applications.
• DevOps and CI/CD: Implement DevOps practices and CI/CD pipelines for automated testing and deployment of machine learning models.
• Programming Proficiency: Code in languages such as Python, R, Java, or Scala for building and maintaining AI/ML applications.
• Software Engineering Principles: Apply strong software engineering principles, including design patterns, data structures, and algorithm optimization.
• Collaborate with Teams: Work effectively with cross-functional teams including data scientists, software engineers, and business stakeholders.
• Problem-Solving: Exhibit excellent problem-solving skills and troubleshoot complex issues in production environments.
• Stay Updated: Keep up with the latest trends and advancements in AI/ML technologies and research, and apply them to enhance product capabilities.
• Sales and Marketing Collaboration: Collaborate with sales and marketing teams to develop AI/ML service offerings, proposals, and presentations for prospective clients.
• Pre-Sales Activities: Participate in pre-sales activities, including customer meetings, workshops, and demonstrations to showcase our AI/ML capabilities.
  

Technical Skills:

• Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn.
• Strong expertise in DirectML and other AI/ML frameworks.
• In-depth knowledge of NLP techniques and frameworks like NLTK and SpaCy.
• Experience with computer vision frameworks like OpenCV and TensorFlow Object Detection API.
• Proficiency in cloud platforms for deploying ML models like AWS SageMaker, Google AI Platform, Vertex AI, Azure Machine Learning, IBM Watson Machine Learning, Alibaba Cloud PAI, Oracle
• Cloud Data Science, H2O Driverless AI, DataRobot AutoML, and collaborative tools like Google Colab.
• Strong understanding of reinforcement learning algorithms.
• Experience with data pipeline and ETL tools such as Apache Airflow.
• Knowledge of containerization technologies like Docker and Kubernetes.
• Familiarity with DevOps practices and CI/CD pipelines.
• Strong programming skills in Python, R, Java, or Scala.
• Deep understanding of software engineering principles.
• Collaboration and Communication: Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
• Problem-Solving: Strong problem-solving skills and the ability to troubleshoot complex issues in production environments.
• Innovation and Learning: A proactive approach to staying updated with the latest AI/ML trends and incorporating them into solutions.
• Sales Support: Ability to support sales and marketing efforts, including pre-sales activities and client presentations.
  

bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions.​

Our goal is to 'Deliver in time-every time'.

For more details visit our website: www.bebotechnologies.com

Let's have a 360 tour of our bebo premises by clicking on below link:

https://www.youtube.com/watch?v=S1Bgm07dPmMKey

Key Responsibilities:

• Develop and Implement AI/ML Models: Design, develop, and deploy machine learning models for various applications, including predictive analytics, natural language processing, and computer vision.
  
• Data Preparation and Analysis: Collect, preprocess, and analyze large datasets to ensure high-quality data for model training and evaluation.
• Model Training and Optimization: Train machine learning models using frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras, and optimize them for performance and scalability.
• Generative AI Integration: Utilize generative AI frameworks and tools such as GPT-3, BERT, DALL-E, and StyleGAN to create innovative AI solutions.
• Algorithm Development: Research and implement state-of-the-art algorithms to solve complex problems and improve existing solutions.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and product managers to integrate AI/ML solutions into products and services.
• Performance Monitoring: Monitor and evaluate the performance of deployed models, ensuring they meet the required accuracy and efficiency standards.
• Stay Current with Industry Trends: Keep up-to-date with the latest advancements in AI/ML technologies and incorporate relevant innovations into our projects.
  

Technical Skills:

• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, fine tuning and reinforcement learning.
• Familiarity with generative AI models and tools like GPT-4/4o, Claude, DALL-E, and StyleGAN.
• Expertise in machine learning techniques and algorithms such as linear regression, logistic regression, decision trees, random forests, gradient boosting, neural networks, etc.
• Hands-on experience in data preprocessing, feature engineering, and normalization techniques.
• Ability to clean and manipulate large datasets for model training and evaluation.
• Knowledge of natural language processing (NLP) techniques such as tokenization, word embeddings, sentiment analysis, etc., is a plus.
• Ability to research and implement state-of-the-art machine learning algorithms and techniques.
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• Desire for continuous learning and innovation.
• Develop and deploy supervised and unsupervised machine learning models (e.g., regression, classification, clustering).
• Conduct feature engineering, selection, and extraction techniques to improve model performance.
• Perform data preprocessing and transformation tasks (e.g., normalization, scaling, imputation).
• Evaluate model performance metrics (e.g., accuracy, precision, recall, F1score) and perform model validation techniques (e.g., cross validation, bootstrapping).
• Collaborate with data engineers to integrate machine learning models into production systems and ensure scalability and performance.
• Explore and implement cutting edge research in machine learning and artificial intelligence to enhance model accuracy and efficiency.
• Problem-Solving Skills: Ability to tackle complex problems and develop innovative solutions.
• Collaboration: Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
• Adaptability: Ability to work in a fast-paced, dynamic environment and quickly adapt to new challenges and technologies.
  

Preferred Qualifications:

• Experience with cloud platforms (AWS, GCP, or Azure) for ML deployment
• Knowledge of deep learning architectures and natural language processing
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines
• Published research or contributions to open-source ML projects
  

bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions.​

Our goal is to 'Deliver in time-every time'.

For more details visit our website: www.bebotechnologies.com​

Let's have a 360 tour of our bebo premises by clicking on below link:
https://www.youtube.com/watch?v=S1Bgm07dPmM

Skills Required:

• Develop, test, deploy and maintain Magento 2 e-commerce platform.
• Identify and resolve issues, bugs, and performance bottlenecks in Magento websites.
• Integrate third-party APIs and services, such as payment gateways, shipping providers, and ERP systems, into Magento.
  
• Performance Optimization: Monitor and optimize website performance, including page load times and server resource usage.
• Implement security best practices to protect the website and customer data.
• Perform regular unit testing and adhere to standards of security.
• Maintain organized code and create documentation.
• Strong knowledge of core PHP 8 and above concepts.
• Strong hand in logic generation and analytical skills.
• Strong knowledge of JavaScript and ES6 + programming.
• Strong hand in MVC design patterns.
• Strong knowledge of object-oriented programming and factory pattern.
• Sound understanding of front-end technologies like (Angular.js, React.js, Vue.js, Knockout.js, Luma).
• Set up CI/CD pipelines for automated testing and deployment.
• Dockerize Magento 2 application for easy development and deployment.
• Deploy application to the cloud (AWS, Adobe Commerce Cloud, Azure, or GCP).
• Strong communication skills.

bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions.

Our goal is to 'Deliver in time-every time'.

For more details visit our website: www.bebotechnologies.com​

Let's have a 360 tour of our bebo premises by clicking on below link:
https://www.youtube.com/watch?v=S1Bgm07dPmM​

Skill Set Required:

•  4+ years of professional experience working with ReactJS and front-end development
• Strong understanding of JavaScript, HTML5, CSS3, and ECMAScript (ES6+)
• Proficiency in ReactJS and its core principles, including state management (e.g., Redux, Context API)
• Familiarity with modern front-end build pipelines and tools such as Webpack, Babel, NPM, etc
• Experience with RESTful APIs and front-end integration with backend services
• Basic understanding of Python for scripting, automation, or small backend tasks
• Experience with version control systems like Git
• Knowledge of Agile development methodologies and ability to work in a collaborative environment

Preferred Qualifications:

• Familiarity with popular ReactJS libraries and tools (e.g., React Router, Axios)
• Basic understanding of database concepts and interaction with SQL/NoSQL databases
• Experience with testing frameworks like Jest or Enzyme
• Exposure to cloud platforms (AWS, Azure, etc.) or CI/CD tools