Data Scientist

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.