ResponsibilitiesDesign, develop, and maintain efficient, reusable, and reliable code for both front-end and back-end components of web applications.Collaborate with product management and engineering teams to translate requirements into technical solutions.Build user-friendly interfaces and experiences that delight our users.Ensure the technical feasibility of UI/UX designs and optimize applications for maximum speed and scalability.Implement security and data protection measures.Write clean, well-designed code following best practices and standards.Troubleshoot and debug issues to optimize performance and ensure the stability of applications.Stay updated on emerging technologies and trends in full stack development and propose improvements to current processes and technologies.Mentor junior developers, providing guidance and assistance when needed. Requirements and skillsProven experience as a Full Stack Developer or similar role5+ years of experience in full stack development, with a strong focus on both front-end and back-end technologies.Proficiency in front-end technologies such as HTML5, CSS3, JavaScript (ES6+), and modern JavaScript frameworks (e.g., React.js, Node.js).Familiarity with database technologies such as SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, CouchDB).Strong understanding of RESTful APIs and experience in integrating with third-party APIs.Experience with version control systems (e.g., Git) and agile development methodologies.Excellent problem-solving and analytical skills with a strong attention to detail.Ability to work independently and in a team environment, with excellent communication and collaboration skills.

Job descriptionWe are seeking a skilled and experienced Data Scientist to join our dynamic team. As Data Scientist, you will play a critical role in driving high-impact data science projects.Responsibilities: Develop and implement advanced machine learning and deep learning models for Data processing, natural language processing, computer vision. Machine Learning lifecycle: data prep, training data generation, feature engineering, optimization, experimentation, reproducibility, deployment, and end-to-end workflow management Knowledge of statistical programming languages like Python, Pandas, Numpy etc. Basic knowledge of query language like SQL. Utilize expertise in statistics, ML to extract valuable insights from complex data sets. Should have knowledge working with libraries like TensorFlow, PyTorch, scikit-learn, NLTK etc. Proven experience in Generative AI. Proven track record of successfully delivering complex data science projects. Work collaboratively with cross-functional teams to identify data science opportunities and provide innovative solutions. Deploy data science models in the form of APIs on Azure Kubernetes Service (AKS) to ensure smooth integration with existing systems. Stay updated with the latest advancements in data science, AI, and related fields, and apply them to enhance our capabilities.Qualifications: Bachelor's or Master' degree 10+ years of industry experience in data science, with a strong background in data processing, deep learning, natural language processing and generation, computer vision and statistics.