ASO Jobs

Software Engineer

RLE India Private Limited•

Chennai

•Full-time

Software Engineer Job Description Job Summary We are seeking a skilled Software Engineer to join our team in Chennai. This is an onsite position within the IT / Technology industry. The ideal candidate will possess a strong analytical background and a proven ability to solve complex problems, with experience in Hyperion and related technologies. Key Responsibilities This role will involve a range of responsibilities related to Essbase and related systems, including but not limited to: Data Validation and Data Reconciliation to ensure data integrity. Month End Activities to support accurate financial reporting. Scenario Management , including opening and closing scenarios. User Acceptance Testing (UAT) to validate system functionality. Production Release Coordination to ensure smooth deployments. Application Migration activities to support system upgrades and transitions. Outline Management and Metadata Maintenance to ensure data accuracy and consistency. Essbase Backup and Essbase Recovery procedures to safeguard data. Essbase Optimization and Performance Tuning to maximize system efficiency. ETL processes to ensure data flows seamlessly. Testing and Development activities to support system enhancements. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze complex data and identify trends and insights. Problem-Solving Skills: Proven ability to identify, analyze, and resolve technical issues effectively. Communication Skills: Excellent written and verbal communication skills to collaborate effectively with stakeholders. Technical Proficiency: Strong experience with Hyperion , including Essbase . Proficiency in Essbase Calculation Scripts and Essbase Maxl Commands . Experience with Essbase Partitions , including Transparent , Replicated , and Linked configurations. Familiarity with ASO and BSO architectures. Experience with Aggregate Storage and Block Storage . Proficiency in Essbase SmartView and Excel Add-in . Experience with LCM for Application Migration . Knowledge of Autosys for Job Maintenance , including Create Jobs , Update Jobs , and Delete Jobs . Experience with Encryption and Anonymization techniques. Financial Planning and Budgeting experience. Forecasting skills. End-User Support experience. Qualifications: A Bachelor's Degree is required. Experience Required: A minimum of 10 years of experience is expected, demonstrating a high level of seniority and expertise in the field. What We Offer Salary:

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•Full-time

Artificial Intelligence Senior Associate Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge AI and ML initiatives within a dynamic Technology environment. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI and ML models and systems. This includes collaborating with cross-functional teams to define project requirements, designing and implementing solutions, and ensuring the quality and reliability of deployed models. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms, techniques, and their practical applications. GCP : Proficiency in utilizing Google Cloud Platform ( GCP ) for developing and deploying AI and ML solutions. This includes experience with GCP services such as Vertex AI, BigQuery, and Cloud Storage. GenAI : Experience with Generative AI models and techniques, including understanding of large language models and their applications. AI Agents : Familiarity with the principles and implementation of AI Agents , including their design, development, and integration into existing systems. MLOps : Knowledge of MLOps practices and tools for automating and streamlining the machine learning lifecycle, from model development to deployment and monitoring. RESTful APIs : Ability to design and implement RESTful APIs for integrating AI and ML models with other systems and applications. Microservices : Experience with microservices architecture and its application in building scalable and resilient AI and ML systems. Data Pipelines : Ability to design and implement robust and efficient data pipelines for ingesting, transforming, and preparing data for AI and ML models. Model Monitoring : Experience with model monitoring techniques and tools for tracking model performance and identifying potential issues. Model Governance : Understanding of model governance principles and best practices for ensuring the ethical and responsible use of AI and ML models. Serverless : Familiarity with serverless computing concepts and technologies for building scalable and cost-effective AI and ML applications. Containerized : Experience with containerized deployments using technologies like Docker and Kubernetes . Agile : Experience working in an Agile development environment, with a focus on iterative development and continuous improvement. Product Management : Ability to collaborate with product management teams to define requirements and translate them into technical solutions. Reasoning : Strong analytical and reasoning skills for problem-solving and decision-making in complex situations. Tool-use : Ability to effectively utilize various AI and ML tools and technologies. APIs : Understanding of APIs and their role in integrating AI and ML models with other systems. Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI and ML . What We Offer We offer a competitive compensation package.

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team. This role will focus on leveraging cutting-edge AI/ML techniques to solve complex business challenges within the IT / Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI/ML models and systems. This includes contributing to the full lifecycle of AI projects, from initial conception and design to implementation, testing, and ongoing monitoring. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for data analysis, prediction, and automation. GCP : Proficiency in utilizing Google Cloud Platform (GCP) for developing and deploying AI/ML solutions. This includes familiarity with GCP Services and their integration within a cloud-based environment. GenAI : Experience with Generative AI models and their applications. AI Agents : Knowledge of AI Agents and their implementation. RESTful APIs : Ability to design and integrate with RESTful APIs for seamless data exchange and system interoperability. Microservices : Understanding of Microservices architecture and its application in building scalable and resilient AI systems. MLOps : Experience with MLOps practices to streamline the machine learning lifecycle, including automation, continuous integration, and continuous delivery. Serverless : Familiarity with Serverless computing concepts and their application in building efficient and cost-effective AI solutions. Containerized : Experience with Containerized environments, such as Docker and Kubernetes , for deploying and managing AI applications. Agile : Proven ability to work within an Agile development framework, collaborating effectively with cross-functional teams. Product Management : Understanding of Product Management principles and their application in defining and delivering successful AI -powered products. Reasoning : Ability to apply logical Reasoning to solve complex problems and make informed decisions. Tool-use : Proficiency in utilizing various AI and ML tools and frameworks. APIs : Experience with APIs and their integration. Data Pipelines : Ability to design and implement robust Data Pipelines for efficient data processing and transformation. Model Training : Expertise in Model Training techniques and best practices. Model Deployment : Experience with Model Deployment strategies and tools. Model Versioning : Ability to implement Model Versioning to track and manage different versions of AI models. Model Monitoring : Proficiency in Model Monitoring techniques to ensure the ongoing performance and accuracy of AI models. Model Governance : Understanding of Model Governance principles and their application in ensuring responsible and ethical use of AI . Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI/ML is expected. This level of experience indicates a solid foundation in AI principles and a proven ability to contribute effectively to real-world projects. What We Offer Salary:

Software Engineer (3) - Core Senior Engineer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking three experienced Software Engineer (3) - Core Senior Engineer to join our team in Chennai. This is a hybrid role within the IT / Technology industry. Key Responsibilities This role will involve a range of responsibilities related to Hyperion and related systems, including administration, maintenance, and support. The successful candidate will be responsible for ensuring the stability and performance of our Essbase environment, supporting users, and participating in key activities such as month-end close and application migrations. Required Skills & Qualifications The ideal candidate will possess a strong skillset in the following areas: Hyperion and Essbase Expertise: Demonstrated proficiency in Hyperion and Essbase administration, including experience with EAS console , Aggregate Storage , ASO , and BSO . Essbase Scripting and Commands: Solid understanding of Essbase Calculation Scripts and Essbase Maxl commands . Essbase Architecture: Familiarity with Essbase Partitions , including Transparent , Replicated , and Linked configurations. Autosys Job Management: Experience with Autosys for job scheduling, including Create jobs , Update jobs , and Delete jobs . Essbase SmartView : Proficiency in using Essbase SmartView , including its Excel add-in capabilities. LCM Management : Experience with LCM Management for Essbase environments. Financial Planning & Analysis: Understanding of Budgeting , Forecasting , and Financial Planning processes. Data Integrity: Strong skills in Data Validation and Data Reconciliation . User Support: Ability to provide End-User Support and resolve issues effectively. Month-End Activities: Experience with Month end activities , including Scenarios open and Scenarios close . Testing & Release Support: Experience with User Acceptance Testing (UAT) and Support Production Release . Application Management: Experience with Application migration activity . Essbase Management: Proficiency in Outline Management , Metadata Maintenance , Essbase Backup , and Essbase Recovery . Performance Optimization: Skills in Essbase Optimization and Performance Tuning . Coding : Ability to write and debug Essbase related code. Analytical and Problem-Solving Skills: Strong Analytical Skills and Problem-Solving Skills . Communication Skills: Excellent Communication Skills for effective collaboration and communication with stakeholders. Experience Required: 10 + years of relevant experience. This level of experience indicates a senior-level role requiring a high degree of autonomy and expertise. The candidate should be able to work independently, mentor junior team members, and contribute to the strategic direction of the Essbase environment. What We Offer Salary: