Responsibilities

- Design, develop, train, and deploy machine learning models.
- Build and maintain data pipelines for model training and inference.
- Work with structured and unstructured datasets.
- Evaluate model performance and optimize accuracy, latency, and scalability.
- Implement deep learning, NLP, computer vision, or generative AI solutions as required.
- Collaborate with data scientists, software engineers, and business stakeholders.
- Monitor production models and retrain when necessary.
- Document model architecture, experiments, and deployment processes.

Required Skills

- Robust knowledge of Python.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Understanding of supervised, unsupervised, and reinforcement learning concepts.




- Experience with SQL and data processing tools.
- Knowledge of statistics, probability, and linear algebra.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Experience with APIs, Docker, Git, and CI/CD practices.

Preferred Skills

- Experience with Large Language Models (LLMs) and Generative AI.
- Knowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker.
- Experience with vector databases, RAG pipelines, and prompt engineering.
- Understanding of distributed computing frameworks such as Spark

Pay: ₹200,000.00 - ₹400,000.00 per year

Work Location: In person

📌 AI/ML Engineer (India)
🏢 Camncloud
📍 India