Python (AI/ML) Developer

Experience: 4 to 5 Years

Location: Surat (Onsite – Vesu)

Joining: Immediate

Employment Type: Full-time

Job Overview

We are looking for an experienced Python (AI/ML) Developer to build, deploy, and optimize AI-based applications. The ideal candidate should be strong in Python, machine learning frameworks, and cloud deployment environments. You will work on developing intelligent solutions, optimizing ML models, and contributing to high-impact AI initiatives.

Roles & Responsibilities

● Develop and maintain AI-powered applications using Python and modern ML/DL frameworks.

● Build, train, and optimize machine learning and deep learning models using TensorFlow, PyTorch, Scikit-learn, etc.

● Develop backend services and APIs using FastAPI.

● Optimize model performance, latency, and scalability for production environments.

● Deploy ML models and applications on AWS, GCP, or Azure cloud platforms.

● Collaborate with cross-functional teams, including data engineers and product owners, to deliver high-quality AI solutions.

● Conduct research on new AI techniques, tools, and best practices to enhance solution capabilities.

● Troubleshoot, debug, and improve existing AI/ML systems. Requirements

● 4–5 years of hands-on experience as a Python or AI/ML developer.

● Strong proficiency in Python, including experience with FastAPI.

● Solid understanding of AI/ML and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn).

● Experience with model training, optimization, and production deployment.

● Knowledge of cloud services (AWS/GCP/Azure) for AI/ML deployments.

● Strong analytical, problem-solving, and debugging skills.

● Ability to work collaboratively in a team environment.

Nice to Have

● Experience with Docker, Kubernetes, or MLOps pipelines.

● Familiarity with LLMs, vector databases, or generative AI technologies.

● Experience building end-to-end ML pipelines.

Job Types: Full-time, Permanent

Pay: ₹35,000.00 - ₹60,000.00 per month

Benefits:

• Flexible schedule
• Paid sick time

Work Location: In person