AI ML FullStack Enginer

Overview:

Key Responsibilities:

• Collaborate with the product management and design teams to understand user requirements and translate them into technical specifications.
• Develop and maintain serverside logic using Node.js and Python.
• Design and implement user interfaces using React.js with a focus on user experience.
• Build reusable and efficient code for future use.
• Implement security and data protection measures.
• Collaborate with other team members and stakeholders to ensure seamless integration of frontend and backend components.
• Troubleshoot and debug complex issues identify root causes and implement effective solutions.
• Stay uptodate with the latest industry trends technologies and best practices to drive innovation within the team.
• Participate in architectural discussions and contribute to technical decisionmaking processes.
• Staying updated on the latest trends and advancements in AI ML and fullstack development

Required Qualifications:

• Bachelors or Masters degree in Computer Science Engineering or related field
• 3 years of experience as a Fullstack Engineer with a focus on Python Node.js and React.js.
• Experience in Artificial Intelligence (AI) Machine Learning (ML) and Natural Language Processing (NLP) is a significant advantage.
• Strong understanding of frontend and backend development principles.
• Excellent problemsolving skills and attention to detail.
• Ability to work independently and as part of a team.
• Excellent communication and collaboration skills.
• Solid understanding of algorithms and data structures
• Excellent problemsolving and analytical skills
• Proven track record of delivering highquality scalable software solutions
• understanding of cloud platforms and services is a plus
• Knowledge of software engineering best practices and agile methodologies
• Certifications in AI ML or fullstack development are a bonus

python,artificial intelligence,data analysis,back-end development,cloud platforms,problem-solving,software engineering best practices,agile methodologies,api development,data structures,node.js,machine learning,front-end development,team collaboration,natural language processing,react.js,ml,nlp,javascript,attention to detail,algorithms,full life cycle implementation