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​

Skill Set Required:

•  5+ 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