Application Architect

Project Role : Application Architect
Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests.
Must have skills : Machine Learning
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : Any Graduate

Summary: As an Application Architect, you will be responsible for providing functional and technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Your typical day will involve utilizing your expertise in Machine Learning to assist in facilitating impact assessment efforts and producing and reviewing estimates for client work requests. Roles & Responsibilities: - Lead the development and deployment of Machine Learning models to support the delivery of future functional and technical capabilities for an application or group of applications. - Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights, alongside a robust understanding of statistical analysis and machine learning algorithms. - Collaborate with cross-functional teams, applying expertise in diverse machine learning algorithms, including experience in implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Stay updated with the latest advancements in machine learning and data science, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Expertise in Machine Learning. - Good To Have Skills: Experience with TensorFlow, Natural Language Processing (NLP), and Big Data technologies. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Experience in implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 5 years of experience in Machine Learning. - The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions. - This position is based at our Bengaluru office.