Sr Principal Software Engineer eCommerce & Marketplace Orange Business

8.0 - 12.0 years

0 Lacs

karnataka

On-site

As a Senior AI eCommerce Developer at Orange Business, you will play a crucial role in developing robust systems that seamlessly integrate traditional eCommerce functionalities with AI-driven enhancements. Your responsibilities will include estimating workloads, planning projects, and monitoring execution to ensure timely delivery and high quality. You will have the opportunity to build AI-powered capabilities that drive conversational commerce, predictive analytics, dynamic pricing models, and personalized customer journeys. Collaboration with cross-functional teams across Europe and North Africa is essential to align technical solutions with business objectives. In this role, you will mentor and guide development teams on industry best practices, design patterns, and emerging technologies. Facilitating technical decision-making and ensuring all deliverables meet rigorous standards for security, performance, and scalability will be key aspects of your responsibilities. Identifying and resolving intricate technical and business challenges by proposing innovative and optimized solutions will be part of your daily tasks. Your active participation in agile ceremonies such as scrum and sprint planning will be crucial in adapting quickly to evolving priorities based on feedback and market needs. Your experience in building scalable enterprise-grade eCommerce systems, coupled with proven expertise in front-end frameworks like Angular and microfront-end development, will be highly valued in this role. Proficiency in designing and developing RESTful APIs within a microservices architecture, as well as integrating complex systems, will be essential. Your knowledge of Continuous Integration practices, containerized environments, Business Process Management, and workflow automation will be utilized to ensure efficient end-to-end process management within the eCommerce ecosystem. Your soft skills, such as the ability to clearly explain technical concepts to non-technical audiences, proficiency in English (additional proficiency in French is a plus), strong multitasking abilities, adaptability, collaborative mindset, proactive approach to finding innovative solutions, and commitment to agile principles and continuous improvement, will contribute to your success in this role. Join Orange Business as a Senior AI eCommerce Developer and be part of a dynamic team that values innovation, collaboration, and excellence in eCommerce solutions.,

Posted 16 hours ago

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AE/JE/Engineer - Machine Maintenance HD Management Consultants

3.0 - 6.0 years

2 - 7 Lacs

Bawal, Sohna

Work from Office

Interviews will be conducted on 26 & 27th July 2025 in Gujarat Role & responsibilities 1. Key indicators such as processes PPM\DT\OUTPUT 2 .Equipment Weekly/Monthly check Adherence 3. Kaizen Effectiveness monitoring & Horizontal deployment 4. Take part in product quality abnormal FA analysis 5. Focus on preventive maintenance / breakdown handling 6. Focus on BOF on shop floor Exposure of below skills: 1. Pneumatic 2. Drawing understanding 3. Breakdown Handling 4. Troubleshooting 5. Robotic Machine maintenance 6. Hydraulics machine 7. Electrical Panel control wiring, 8. Basic PLC wiring 9. Good Analytical skill 10. Good English speaking & mathematics 11. Good Fluent English Communication skills Preferred candidate profile

Posted 3 weeks ago

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AWS with ML Engineer Tech Mahindra

5.0 - 10.0 years

10 - 20 Lacs

Bengaluru

Work from Office

Must have: 5+ years of experience in designing, developing, and deploying AI/ML solutions, with at least 3+ years focused on AWS AI/ML services. Deep hands-on experience with Amazon SageMaker for building, training, tuning, and deploying ML models. Proven ability to work with AWS data services, such as: Amazon S3 (data storage),AWS Glue or AWS Data Wrangler (data processing), Amazon Athena or Redshift (querying/analytics) Familiarity with AWS AI services, like:Amazon Rekognition (computer vision), Amazon Comprehend (NLP), Amazon Transcribe/Polly (speech), Amazon Lex (chatbots) Experience building end-to-end ML pipelines using AWS-native tools or integrating with tools like Step Functions, Lambda, and CloudWatch for automation and monitoring. Solid understanding of model versioning, deployment strategies (real-time, batch, A/B testing), and model monitoring on AWS. Proficiency in Python for ML model development and deployment. Good to have: Hands-on experience with MLOps practices using AWS tools (e.g., SageMaker Pipelines, Model Registry, CodePipeline, CloudFormation). Familiarity with data lake architecture and tools like AWS Lake Formation. AWS certifications (e.g., AWS Certified Machine Learning Specialty, Solutions Architect – Associate/Professional).Experience with Application performance tuning

Posted 1 month ago

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