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Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in India. This role is ideal for a candidate with a strong foundation in data science and a passion for leveraging AI/ML to solve complex business challenges within the Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, implementation, and maintenance of AI/ML solutions. This includes collaborating with cross-functional teams to identify opportunities for AI/ML applications, designing and building AI/ML models, and ensuring the scalability and reliability of these models in a production environment. The role requires a proactive approach to problem-solving and a commitment to continuous improvement. Required Skills & Qualifications AI/ML : A deep understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for model building, training, and evaluation. Python : Proficiency in Python programming language for data manipulation, statistical analysis, and AI/ML model development. Google Cloud Platform (GCP) : Experience with GCP services, including Big Query , Dataproc , Data Fusion , and Cloud SQL , for data storage, processing, and analysis. Data/Analytics : Strong analytical skills with the ability to extract meaningful insights from large datasets and communicate findings effectively. Automation : Experience in automating data processing and AI/ML workflows to improve efficiency and reduce errors. Business Analysis : Ability to understand business requirements and translate them into technical specifications for AI/ML solutions. Business Transformation : A grasp of how AI/ML can be leveraged to drive business transformation and create competitive advantage. CI/CD : Familiarity with continuous integration and continuous delivery ( CI/CD ) practices for deploying and managing AI/ML models. ETL : Experience with extract, transform, load ( ETL ) processes for data integration and preparation. Jira : Proficiency in using Jira for project management and issue tracking. Data Flow : Understanding of data flow principles and techniques for designing efficient data pipelines. TERRAFORM : Experience with TERRAFORM for infrastructure as code. Tekton : Knowledge of Tekton for container-native CI/CD. AIRFLOW : Experience with AIRFLOW for orchestrating complex data workflows. Airflow PySpark : Ability to utilize Airflow with PySpark for large-scale data processing. POSTGRES : Familiarity with POSTGRES database. API : Understanding of API design and integration. GCP : Comprehensive knowledge of GCP ecosystem. Financial Reporting : Ability to apply AI/ML techniques to financial data and generate insightful reports. Leadership : Demonstrated leadership potential with the ability to guide and mentor junior team members. Strategic Communication : Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences. Communication Skills : Strong written and verbal communication skills. Analytical Skills : Exceptional analytical and problem-solving skills. Problem-Solving Skills : Ability to identify, analyze, and solve complex problems effectively. GitHub : Proficiency in using GitHub for version control and collaboration. Qualifications : A Bachelor's Degree and a Master's Degree are required. Experience Required : We are seeking candidates with 3-9 years of relevant experience in data science or a related field. This level of experience indicates a strong foundation in AI/ML principles and a proven ability to deliver impactful results. What We Offer Salary :
Job Summary We are seeking four skilled Software Engineers to join our team in Chennai. This role is ideal for individuals with a strong foundation in data management and a passion for leveraging SAP technologies to drive business solutions. Key Responsibilities The Software Engineer will be responsible for a range of data-related tasks, including data extraction, transformation, and loading ( ETL ). They will also be involved in the technical specification documentation and ensuring smooth production cutovers through rigorous testing and rehearsals. Required Skills & Qualifications SAP S/4 HANA : Demonstrated proficiency in utilizing SAP S/4 HANA for data management and application development. SAP BODS : Expertise in SAP BODS (BusinessObjects Data Services) for data extraction, transformation, and loading processes. Data Migration Cockpit: Familiarity with the Data Migration Cockpit for efficient data migration activities. LSMW : Strong understanding and practical experience with LSMW (Legacy System Migration Workbench) for data transfer and migration. IDOC Loading Method : Knowledge of IDOC (Intermediate Document) loading methods for seamless data exchange. Data Extraction: Ability to extract data from various sources using appropriate techniques. Data Transformation: Skill in transforming data to meet specific requirements and ensure data quality. Data Loading: Experience in loading data into target systems accurately and efficiently. ETL : Solid understanding of ETL principles and practices. BAPI : Proficiency in utilizing BAPI (Business Application Programming Interface) for data access and manipulation. File-based Data Loading: Ability to load data from various file formats. BODS Scripting : Ability to write and maintain BODS scripts for data transformation and loading. SQL : Strong SQL skills for data querying, manipulation, and analysis. Data Validation: Ability to perform thorough data validation to ensure data accuracy and integrity. Data Transformation: Skill in transforming data to meet specific requirements and ensure data quality. Performance Tuning: Ability to optimize data processes for improved performance. Technical Specification Documentation: Ability to create clear and concise technical specifications. Production Cutover: Experience in planning and executing production cutovers. Mock Runs: Ability to conduct thorough mock runs to identify and resolve potential issues. Dress Rehearsals: Ability to participate in dress rehearsals to ensure a smooth production cutover. Experience Required: 6 + years of experience in a related field. This level of experience indicates a seasoned professional capable of independently managing complex data migration projects and mentoring junior team members. What We Offer Salary: Not provided.
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