Python AI/ML Developer

Job Title: Python Developer – AI/ML Focus

About the Role:

We are looking for a passionate and skilled Python Developer with a keen interest in Artificial Intelligence (AI) and Machine Learning (ML) technologies. You will be responsible for developing robust web applications, deploying scalable AI/ML models, and integrating modern data solutions to solve real-world problems. This role is ideal for professionals who are eager to work at the intersection of software development and intelligent systems.

Key Responsibilities:

• Design, develop, and maintain web applications using Python frameworks such as Django, Flask, and FastAPI.
• Build, train, and deploy machine learning models using TensorFlow, PyTorch, and other AI/ML frameworks.
• Apply data analysis and visualization techniques using NumPy, Pandas, Matplotlib, and Seaborn.
• Develop RESTful APIs and microservices to support AI-driven applications.
• Utilize LangChain, LlamaIndex, Vector DBs (e.g., FAISS, Pinecone) for building LLM-based data applications.
• Perform web scraping using BeautifulSoup, Scrapy, and manage structured data pipelines.
• Work with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases to store, retrieve, and manage data securely.
• Integrate applications with cloud platforms like AWS, Azure, or GCP for seamless deployment and scaling.
• Collaborate with data scientists, DevOps engineers, and other cross-functional teams to deliver high-impact solutions.
• Stay up to date with advancements in the Python ecosystem, AI/ML models, and OpenAI technologies.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 1–3 years of experience in Python programming and backend web development.
• Proficiency in Django, Flask, and FastAPI.
• Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch.
• Familiarity with LLMs, LangChain, LlamaIndex, and vector databases is a strong plus.
• Practical knowledge of data analysis libraries: NumPy, Pandas, Matplotlib.
• Understanding of API development, HTTP request handling, and web scraping techniques.
• Experience with cloud deployment on AWS, Azure, or Google Cloud Platform.
• Working knowledge of DevOps tools: Docker, Kubernetes, Jenkins (preferred).
• Proficient in version control systems like Git and GitHub.
• Basic frontend skills in HTML, CSS, and JavaScript.
• Strong communication skills and the ability to work in a collaborative team environment.

Job Type: Full-time

Pay: ₹16,478.20 - ₹50,000.00 per month

Benefits:

• Paid time off
• Provident Fund
• Work from home

Work Location: In person