Full Stack Developer AI/ML

Key Responsibilities:

• Design, develop, and deploy AI/ML models for real-world applications.
• Work with Python, TensorFlow, PyTorch, Scikit-Learn, and OpenCV for machine learning tasks.
• Develop RESTful APIs to integrate AI models with web applications.
• Implement and maintain backend services using Node.js, FastAPI, or Flask.
• Build and enhance frontend UIs using React.js, Vue.js, or Angular.
• Manage databases (SQL & NoSQL like PostgreSQL, MongoDB, Firebase) for storing model outputs.
• Optimize AI models for performance, scalability, and deployment using Docker, Kubernetes, or cloud services (AWS, GCP, Azure).
• Work on data preprocessing, feature engineering, and model evaluation.
• Deploy models using MLOps pipelines (CI/CD, model versioning, monitoring).
• Collaborate with cross-functional teams for AI integration into business applications.

Required Skills & Qualifications:

• 0-1 year of experience in AI/ML and full-stack development.
• Strong proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy.
• Experience with backend development (Node.js, FastAPI, Flask, or Django).
• Knowledge of frontend frameworks (React.js, Vue.js, or Angular).
• Familiarity with database management (SQL - PostgreSQL, MySQL | NoSQL - MongoDB, Firebase).
• Understanding of machine learning workflows, model training, and deployment.
• Experience with cloud services (AWS SageMaker, Google AI, Azure ML).
• Knowledge of Docker, Kubernetes, and CI/CD pipelines for ML models.
• Basic understanding of Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning.
• Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, D3.js).
• Strong problem-solving and analytical skills.
• Good communication and teamwork skills.

Preferred Qualifications:

• Experience with LLMs (GPT, BERT, Llama) and AI APIs (OpenAI, Hugging Face).
• Knowledge of MLOps, model monitoring, and retraining pipelines.
• Understanding of Reinforcement Learning (RL) and Generative AI.
• Familiarity with Edge AI and IoT integrations.
• Previous internship or project experience in AI/ML applications.

In this role, you will receive a competitive salary package, hands-on experience with AI-driven projects, mentorship from experienced AI engineers, a flexible work environment (Remote/Hybrid), and career growth and learning opportunities in AI/ML.,