Job Description :

Key Responsibilities :

- Develop, train, and optimize machine learning and deep learning models using Python.

- Build predictive analytics solutions to solve complex business problems.

- Design and implement supervised, unsupervised, and reinforcement learning models.

- Develop forecasting solutions using time series analysis techniques.

- Perform data collection, preprocessing, feature engineering, and exploratory data analysis (EDA).

- Build and fine-tune deep learning models using PyTorch.

- Deploy and manage machine learning models using TorchServe.

- Evaluate model performance, optimize algorithms, and improve prediction accuracy.

- Collaborate with cross-functional teams to translate business requirements into AI/ML solutions.

- Develop scalable and production-ready machine learning pipelines.

- Stay up to date with the latest trends and advancements in Data Science, Machine Learning, and Artificial Intelligence.

Preferred Skills :

- Experience with MLOps, Docker, Kubernetes, and REST APIs.

- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform is an added advantage.

- Strong analytical, problem-solving, and communication skills.