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Job Summary We are seeking a skilled and motivated Software Engineer to join our dynamic team. This is an onsite position within the IT / Technology industry. Key Responsibilities This role will involve a range of responsibilities related to software development and maintenance, leveraging a full stack skillset to contribute to our engineering design and manufacturing processes. Required Skills & Qualifications Teamcenter Development: Demonstrated proficiency in developing and maintaining applications within the Teamcenter environment. Java: Strong understanding and practical experience with Java programming language. Full Stack Development: Ability to work across the entire software development lifecycle, from front-end to back-end. GCP: Familiarity with Google Cloud Platform (GCP) for cloud-based solutions. ITK: Experience with ITK (Integration Toolkit) for seamless integration of systems. SOA: Solid understanding of Service Oriented Architecture (SOA) principles and implementation. BMIDE: Experience with Business Modeler IDE for efficient business process modeling. Business Modeler IDE: Ability to utilize Business Modeler IDE to design and implement business processes. XRT: Knowledge of XRT related functionalities. Engineering Design: Understanding of Engineering Design principles and their application in software development. Manufacturing: Knowledge of Manufacturing processes and their integration with software systems. Active Workspace: Experience with Active Workspace for user interaction and data management. Data Models: Ability to design and implement robust Data Models . Business Objects: Experience working with Business Objects and their manipulation. Attributes: Understanding of Attributes and their role in data management. GRM Rules: Ability to configure and manage GRM (Group Rules Management) rules. LOVs: Experience with LOVs (Lists of Values) and their implementation. Declarative UI Components: Ability to develop and utilize Declarative UI Components for user interfaces. Root Cause Analysis: Strong analytical skills with the ability to perform Root Cause Analysis to identify and resolve issues. Database Queries: Proficiency in writing and executing Database Queries for data retrieval and manipulation. PLM Best Practices: Knowledge of PLM (Product Lifecycle Management) Best Practices . Integration Toolkit: Experience with Integration Toolkit for system integration. Web Services: Understanding of Web Services and their implementation. Qualifications: A Bachelor's Degree is required. Experience Required: 4 - 5 years of relevant experience are expected, demonstrating a solid foundation in software engineering principles and practices. This level of experience indicates a readiness to contribute independently and collaboratively within a team. What We Offer Salary: 15 LPA - 16 LPA
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 :
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