As a Senior AWS Cloud Developer based in Pune, you'll play a key role in designing, building, and maintaining scalable cloud infrastructure and data processing applications using AWS What You Do Design, build, and maintain secure and scalable AWS cloud infrastructure and data-driven applications. Develop and enhance web services and APIs using Java, Spring Boot, and React. Create and maintain UDP Proxy components using Python. Set up and manage monitoring, logging, and alerting systems using Prometheus, Loki, and Grafana to ensure performance and reliability. Troubleshoot and optimize network protocols particularly UDPto improve system stability and security. Work independently as a key contributor, owning your projects end-to-end and delivering robust solutions to support cross-functional, global engineering teams. What Were Looking For 8+ years of hands-on software development experience, with strong proficiency in Spring Boot and React. Solid experience with AWS services and infrastructure automation using tools like Terraform and Cloud Formation. Working knowledge of monitoring and logging tools such as Prometheus, Loki, and Grafana. Experience with relational databases like PostgreSQL. A degree in Computer Science, IT, or a related technical field. Strong problem-solving skills and the ability to communicate clearly.
Our Organization is looking to hire candidates for the position of Senior Engineer- Model Based Development Model-Based Design Developer is a part of the Validation Engineering Department at EE Validation SA. The successful candidate will work on developing plant models, control algorithms, and simulation environments for testing and validating embedded systems. The ideal candidate will have experience with modeling tools such as Simulink, Stateflow, and Simscape, as well as control design tools like the Control System Toolbox and Robust Control Toolbox, and source control tools like Git. Your Impact Develop plant models and control algorithms for embedded systems and Clint Model. Integrate models with hardware-in-the-loop (HIL) systems. Assist in the development of simulation environments for test and validation of systems behavior. Support tools integration at Matlab/Simulink environment. Support toolchain extensions and customizations for Matlab/Simulink environment. Your Experience and Qualifications Bachelors or masters degree in computer science, engineering, or a related field. 10+ years in experience in Model-Based Design Developer English proficiency for technical writing and communication. Knowledge over programming languages like C, C++, Python. Experience with real-time simulation and data acquisition systems. Join us as we bring agriculture into the future and apply now! If your interested please find the link below to apply for the position. Apply here: https://careers.agcocorp.com/job-invite/100120/
Job Title: AI Platform Architect Location: Pune/ Bangalore (Hybrid) Experience Required: 8+ Years Functional Area: Platform Architect Education: B.Tech/B.E. Job Description We are hiring an experienced AI Platform Architect to lead the design and evolution of its AI/ML platform. The role focuses on enabling AI delivery at scale across cloud and edge, driving efficiency, security, and agility throughout the ML lifecycle. Roles & Responsibilities Define and maintain the reference architecture for an enterprise AI/ML platform, including data pipelines, model training, CI/CD, and observability. Build reusable platform services like model registries, training environments, orchestration frameworks, and experiment tracking systems. Develop self-service interfaces (API/CLI/UI) for scalable, secure platform consumption by engineering teams. Collaborate across AI/ML teams, enterprise architects, and product engineering to ensure platform integration and adoption. Design deployment strategies for cloud, internal APIs, dashboards, and embedded edge systems . Implement governance and technical standards for lifecycle management, performance, and reusability. Serve as a technical leader , contributing to platform strategy, roadmap, and architecture best practices. Key Skills Required 10+ years in Platform Architect / Infrastructure Engineering/ Devop Architect 3+ years in AI or MLOps Architecture roles Strong hands-on experience with GCP cloud-native tools/AWS : Vertex AI, GKE, Cloud Run, Artifact Registry, Pub/Sub Experience with CI/CD for ML (e.g., GitHub Actions, Kubeflow, Terraform) Strong skills in Kubernetes, Docker , and secure container management Deep understanding of model lifecycle management (training, versioning, deployment, monitoring) Familiarity with tools like Airflow , feature stores , dataset management Excellent architectural and system design capabilities Proven ability to work across multiple teams and influence technical decisions
We are looking for an experienced Aftersales Campaign Analyst with a strong background in digital analytics, data visualization, and campaign performance insights to support our Aftersales Marketing team. You will work closely with senior management and cross-functional stakeholders to provide actionable insights, support data-driven decision-making, and develop scalable BI solutions. This role demands a blend of technical expertise in data engineering and visualization, along with strong analytical storytelling and business acumen. Key Responsibilities Collaborate with senior leadership in Aftersales Marketing and Aftersales Parts Business to identify and prioritize high-impact, data-driven insights across campaigns. Translate business needs into reporting requirements and develop intuitive dashboards and scorecards using tools like Tableau, Power BI, or QlikView. Utilize data storytelling to communicate key trends, business opportunities, and performance outcomes to non-technical stakeholders. Adhere to enterprise BI standards and optimize data queries for performance and scalability. Build mock-ups and wireframes to define dashboard/report structure; ensure alignment with business objectives. Define and manage integration points between BI tools and systems like Salesforce Marketing Cloud, SAP, CRM tools, and other internal platforms. Design and deploy cloud-based data ingestion pipelines leveraging platforms such as AWS, Azure, or GCP. Explore large datasets to determine structure, cleanliness, and best-fit visualizations for consumption by various business teams. Act as a change agent in the organization, promoting data-driven thinking and strategic use of analytics across Aftersales Marketing. Stay abreast of emerging trends and best practices in data science, visualization, and marketing analytics. Qualifications & Skills Bachelors Degree in Engineering/ B.Tech 7 years of experience in campaign analysis, preferably in a digital marketing/aftersales environment. Strong expertise in digital analytics: social media, email marketing, UTM tracking, Google Analytics, Google Tag Manager, A/B and Multivariate Testing. 4+ years of hands-on experience with data visualization tools (Tableau, Power BI, QlikView). Solid understanding of data warehousing, data models, data ingestion, and relational databases. Experience working with data from Salesforce Marketing Cloud, Sales Cloud, SAP, and internal CRM systems. Proven experience driving enterprise-level change management in global, cross-functional environments. Knowledge of ERP/CRM systems such as Microsoft Dynamics 365, Salesforce, SAP. Experience with SQL, R, Python, or Apache Spark is a plus.