apply link
apply link
apply link
apply link
apply link
Apply machine learning algorithms such as Random Forest, Gradient Boosting, and Support Vector Machines to enhance data analytics operations
apply link
Utilize deep learning frameworks like TensorFlow and PyTorch for building and training neural networks to solve complex problems.
apply link
Implement NLP techniques using libraries such as NLTK and spaCy to extract insights from unstructured text data and use generative AI models like GPT-3 for creating innovative solutions and automating processes within the organization.
apply link
Deploy machine learning models on cloud platforms like AWS ,SageMaker and Google Cloud AI for scalable and efficient solutions and Utilize data science libraries such as Pandas, NumPy, and SciPy to perform efficient data manipulation, analysis, and computation.
apply link
Apply advanced statistical techniques such as regression analysis, hypothesis testing, and Bayesian inference to interpret data. and Implement robust data governance practices to ensure data integrity, compliance, and security across all operations.
apply link
Utilize cloud computing platforms like AWS and Google Cloud for scalable and efficient data analysis and storage solutions and Create insightful visualizations with tools like Power BI, Tableau, and Matplotlib to transform complex data into actionable insights.
apply link
Develop and implement business intelligence solutions using tools like Microsoft Power BI and SAP BusinessObjects to support decision-making and collaborative environment that encourages innovation and teamwork. Contribute to projects that drive business growth.
apply link
Interested candidates can apply through ATS Corporation’s careers portal. Ensure to include your resume and a cover letter.check below and apply immediately