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

📌 Data Scientist (Chennai)
🏢 Cynosure Corporate Solutions
📍 Chennai