3 - 5 Years 2 Openings Chennai Kochi Trivandrum Role description Role Proficiency Independently interprets data and analyses results using statistical techniques Outcomes Independently Mine and acquire data from primary and secondary sources and reorganize the data in a format that can be easily read by either a machine or a person generating insights and helping clients make better decisions Develop reports and analysis that effectively communicate trends patterns and predictions using relevant data Utilizes historical data sets and planned changes to business models and forecast business trends Working alongside teams within the business or the management team to establish business needs Creates visualizations including dashboards flowcharts and graphs to relay business concepts through visuals to colleagues and other relevant stakeholders Set RAPID goals Measures of Outcomes Schedule adherence to tasks Quality - Errors in data interpretation and Modelling Number of business processes changed due to vital analysis Number of insights generated for business decisions Number of stakeholder appreciations escalations Number of customer appreciations No of mandatory trainings completed Outputs Expected Data Mining Acquiring data from various sources Reorganizing Filtering data Consider only relevant data from the mined data and convert it into a format which is consistent and analysable Analysis Use statistical methods to analyse data and generate useful results Create Data Models Use data to create models that depict trends in the customer base and the consumer population as a whole Create Reports Create reports depicting the trends and behaviours from the analysed data Document Create documentation for own work as well as perform peer review of documentation of others work Manage knowledge Consume and contribute to project related documents share point libraries and client universities Status Reporting Report status of tasks assigned Comply with project related reporting standards and process Code Create efficient and reusable code Follows coding best practices Code Versioning Organize and manage the changes and revisions to code Use a version control tool like git bitbucket etc Quality Provide quality assurance of imported data working with quality assurance analyst if necessary Performance Management Set FAST Goals and seek feedback from supervisor Skill Examples Analytical Skills Ability to work with large amounts of data facts figures and number crunching Communication Skills Ability to present findings or translate the data into an understandable document Critical Thinking Ability to look at the numbers trends and data coming up with new conclusions based on the findings Attention to Detail Making sure to be vigilant in the analysis to come with accurate conclusions Quantitative skills - knowledge of statistical methods and data analysis software Presentation Skills - reports and oral presentations to senior colleagues Mathematical skills to estimate numerical data Work in a team workplace Proactively ask for and offer help Knowledge Examples Knowledge Examples Proficient in mathematics and calculations Spreadsheet tools such as Microsoft Excel or Google Sheets Advanced knowledge of Tableau or PowerBI SQL Python DBMS Operating Systems and software platforms Knowledge about customer domain and also sub domain where problem is solved Code version control e g git bitbucket etc Additional Comments About the Role We are looking for a skilled and forward-thinking Cloud AI ML Engineer to design develop and support scalable secure and high-performance generative AI applications on AWS This role will work at the intersection of cloud engineering and artificial intelligence enabling efficient delivery of state-of-the-art AI capabilities using services like Amazon Bedrock and SageMaker You ll be part of a collaborative team working on cutting-edge generative AI projects and you ll play a key role in implementing cloud-native solutions with best practices in infrastructure automation security and observability Key Responsibilities o AI ML Integration o Leverage Amazon Bedrock for foundation models and SageMaker for custom model training and deployment o Build and maintain generative AI applications that use AWS-native AI ML services efficiently o Deployment Operations o Develop robust CI CD pipelines for automating infrastructure deployment and AI model lifecycle management o Implement real-time monitoring and logging using Amazon CloudWatch and other observability tools o Ensure availability and reliability of AI systems in production environments o Security Compliance o Apply AWS IAM encryption and other best practices to protect data and models o Ensure compliance with organizational and industry-specific data protection standards o Collaboration Support o Work closely with data scientists machine learning engineers and product owners to translate requirements into robust solutions o Troubleshoot and resolve issues related to model performance infrastructure and AWS services o Optimization Documentation o Continuously evaluate and optimize model performance and cloud infrastructure for cost and efficiency o Document infrastructure deployment workflows and best practices for team use and knowledge sharing o Mentorship Guidance o Share knowledge of AWS services and generative AI best practices with peers and junior engineers Required Skills Experience o Proficiency in AWS services especially EC2 SageMaker Bedrock and IAM o Strong programming skills in Python and experience with containerization using Docker o Familiarity with Kubernetes for container orchestration o Experience building and maintaining CI CD pipelines for AI applications and MLOps o Solid understanding of data security compliance and monitoring tools in AWS o Hands-on experience managing databases and data flows in cloud environments Preferred Qualifications o AWS certifications e g AWS Certified Machine Learning - Specialty AWS DevOps Engineer o Experience with responsible AI practices for generative models o Exposure to cost optimization and resource scaling strategies in production AI workloads Skills Aws Python Ai About UST UST is a global digital transformation solutions provider For more than 20 years UST has worked side by side with the world s best companies to make a real impact through transformation Powered by technology inspired by people and led by purpose UST partners with their clients from design to operation With deep domain expertise and a future-proof philosophy UST embeds innovation and agility into their clients organizations With over 30 000 employees in 30 countries UST builds for boundless impact touching billions of lives in the process

📌 Associate Iii - Data Science (Tamil Nadu)
🏢 UST
📍 Tamil Nadu