• Develop and maintain Python-based web applications with AI/ML capabilities;
• Integrate generative AI models and APIs into web applications;
• Build and deploy machine learning pipelines using PyTorch or similar frameworks
• Design and implement AI-powered features and functionalities
• Deploy and manage AI models in cloud environments (AWS/Azure) 
• Collaborate with cross-functional teams to define, design, and ship new features ;
• Create responsive front-end interfaces using modern JavaScript frameworks;
• Optimize applications for maximum speed and scalability;
• Implement security and data protection measures;
• Debug and resolve website problems or bugs; 
• Stay up-to-date with emerging AI/ML technologies, frameworks, and industry trends
• Participate in model training, fine-tuning, and experimentation processes

MUST HAVE:

• 1-3 years of professional web development experience;
• Proficiency in at least two of the following programming languages:Python, Java;
• Strong proficiency in Python with experience in web frameworks such as Django, FastAPI, or Flask;
• Solid understanding of database technologies, including: MySQL, PostgreSQL, etc…;
• Proficiency in front-end technologies: HTML5, CSS3, Javascript;
• Experience with at least one modern JavaScript framework: React.js, Vue.js, Angular;
• Familiarity with version control systems (e.g., Git);
• Intermediate English skills.

NICE TO HAVE:

• Experience with Generative AI and Machine Learning frameworks: PyTorch, TensorFlow, Hugging Face Transformers 
• Experience working with Docker & Kubernetes;
• Experience working with Shell script in Linux environment;
• Experience with cloud platforms: AWS, Azure;
• Familiarity with RESTful APIs and microservices architecture;
• Experience with NoSQL databases: MongoDB, ElasticSearch;
• Leadership experience or potential.

SOFT SKILS:

• Strong problem-solving abilities with analytical thinking for AI/ML challenges;
• Excellent communication skills (both written and verbal);
• Ability to work effectively in a team environment;
• Creativity in AI solution design and implementation
• Creativity in problem-solving and design;
• Adaptability and willingness to learn new technologies.