Data Scientist - Machine Learning

Job Summary: We are looking for an experienced Data Scientist to design, develop, and deploy data-driven solutions using machine learning and statistical techniques. The ideal candidate should have strong expertise in Python, machine learning frameworks, data analysis, regression techniques, and API development. Key Responsibilities: - Develop and implement machine learning models for business and analytical requirements. - Perform data preprocessing, cleaning, transformation, and exploratory data analysis. - Use Python, Pandas, and NumPy for data analysis and model development. - Build, train, validate, and optimize machine learning models. - Apply regression analysis and statistical techniques to identify patterns and generate insights. - Develop and implement deep learning solutions using TensorFlow and PyTorch. - Evaluate model performance and improve accuracy, scalability, and reliability. - Develop and integrate REST APIs for deploying and consuming machine learning models. - Collaborate with engineering, product, and business teams to understand requirements and deliver data-driven solutions. - Document models, methodologies, analysis, and technical processes. Mandatory Skills: - Python - Machine Learning - Pandas - NumPy - TensorFlow - PyTorch - Regression Analysis - REST APIs Candidate Profile: - 7 - 12 years of relevant experience in Data Science / Machine Learning. - Masters degree in a relevant field such as Computer Science, Data Science, Statistics, Mathematics, AI/ML, or a related discipline. - Strong programming and analytical skills. - Experience developing and deploying machine learning models in real-world environments. - Strong problem-solving and communication skills. - Candidates who can join within 15 days will be preferred.