(JD)

Overview

We are seeking an AI/ML Engineer with solid expertise in Python-based machine learning and the ability to integrate solutions with Java-based systems. The role also requires exposure to MLOps practices for deploying and maintaining scalable ML pipelines.

Key Responsibilities

- Develop and implement AI/ML models using Python

- Integrate ML solutions into Java-based backend systems

- Design and maintain data pipelines and model workflows

- Collaborate with backend teams to ensure seamless system integration

- Implement and manage MLOps practices for model deployment and monitoring

- Optimize model performance and ensure scalability in production environments

Required Skills

Primary Skills

- Python for AI/ML

- Libraries: NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch





- Model development, training, and evaluation

- Java Integration

- Ability to integrate ML models into Java applications

- Understanding of APIs, microservices, and backend systems

Secondary Skills

- MLOps

- Model deployment (Flask/FastAPI)

- CI/CD pipelines

- Model monitoring and versioning

- Tools like MLflow, Docker, Kubernetes (preferred)

Preferred Qualifications

- Experience with REST API development

- Familiarity with cloud platforms (AWS/GCP/Azure)

- Understanding of data engineering workflows

- Exposure to real-time or batch processing systems

📌 AI/ML Engineer- MLOps & Integration (Noida)
🏢 Topcoder
📍 Noida