Job Location - Jodhpur

Job Description

We are looking for a Full Stack Developer AI/ML with 0-1 year of experience to join our innovative team. The ideal candidate should have a strong understanding of machine learning models, backend development, and web application deployment. This role will involve working on AI-powered applications, developing and deploying ML models, and integrating them into full-stack web solutions.

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.

Benefits:

Competitive salary package.

Hands-on experience with AI-driven projects.

Mentorship from experienced AI engineers.

Flexible work environment (Remote/Hybrid).

Career growth and learning opportunities in AI/ML.