SAP SD
• Incident & Ticket Management: Troubleshoot and resolve Level 2/3 incidents, investigate root causes, and work closely with off-shore/global teams to meet strict Service Level Agreements (SLAs). • System Configuration: Perform hands-on configuration for sales orders, pricing procedures, shipping points, delivery, and billing. • Business Process Support: Collaborate with end-users to understand pain points, translate business requirements into functional specifications (for ABAP developers), and execute system enhancements • Testing & Validation: Create test scripts, perform unit and integration testing, and coordinate User Acceptance Testing (UAT). • Cross-Module Integration: Maintain and monitor touchpoints between SD and other SAP modules like Materials Management (MM), Logistics Execution (LE), and Financial Accounting/Controlling (FICO). • Documentation & Training: Update configuration rationales, create functional specifications, and develop or update end-user training documentation.
Responsibilities
SAP SD
• Incident & Ticket Management: Troubleshoot and resolve Level 2/3 incidents, investigate root causes, and work closely with off-shore/global teams to meet strict Service Level Agreements (SLAs). • System Configuration: Perform hands-on configuration for sales orders, pricing procedures, shipping points, delivery, and billing. • Business Process Support: Collaborate with end-users to understand pain points, translate business requirements into functional specifications (for ABAP developers), and execute system enhancements • Testing & Validation: Create test scripts, perform unit and integration testing, and coordinate User Acceptance Testing (UAT). • Cross-Module Integration: Maintain and monitor touchpoints between SD and other SAP modules like Materials Management (MM), Logistics Execution (LE), and Financial Accounting/Controlling (FICO). • Documentation & Training: Update configuration rationales, create functional specifications, and develop or update end-user training documentation.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for an experienced Manufacturing Cost Estimation Engineer with 6–8 years of experience in manufacturing cost estimation and supplier sourcing. The candidate will be responsible for estimating the cost of machining, fabrication, casting, and sheet metal components by analyzing engineering drawings and manufacturing processes. The role involves floating RFQs, obtaining supplier quotations, performing cost comparisons, negotiating competitive pricing, and coordinating with suppliers to achieve optimal cost and quality. The ideal candidate should have strong knowledge of engineering drawings, manufacturing processes, SAP, and MS Excel.
Responsibilities
Prepare cost estimates for machining, fabrication, casting, and sheet metal components based on engineering drawings.
Analyze engineering drawings and manufacturing processes to determine accurate product costing.
Float RFQs to suppliers and obtain competitive quotations.
Compare supplier quotations and perform detailed cost analysis.
Negotiate pricing and commercial terms with suppliers to achieve optimum cost.
Coordinate with cross-functional teams to support sourcing and procurement activities.
Evaluate supplier capabilities and recommend suitable vendors.
Maintain costing records and procurement documentation in SAP.
Generate reports and perform data analysis using MS Excel.
Ensure timely completion of estimation activities while maintaining cost, quality, and delivery objectives.
Support continuous cost reduction and value engineering initiatives.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are seeking a highly experienced Senior Deep Learning Engineer to drive the end-to-end development of perception and representation learning solutions for safety-critical Automotive ADAS and Autonomous Driving applications. The ideal candidate will own the complete lifecycle from research, model design, training, validation, optimization, and production deployment of deep learning models. Strong expertise in PyTorch, Computer Vision, Representation Learning, Multimodal Sensor Fusion, Motion Prediction, and Automotive AI is essential.
Responsibilities
esign, develop, and deploy deep learning models for perception, scene understanding, motion prediction, and behavior prediction in ADAS systems.
Build and optimize representation learning models using contrastive learning, self-supervised learning, and metric learning techniques.
Develop multimodal sensor fusion solutions using Camera, LiDAR, Radar, IMU, and GPS data.
Design spatio-temporal models using CNNs, 3D CNNs, Transformers, and Vision Transformers.
Optimize models for real-time inference, latency, memory efficiency, and automotive-grade deployment.
Conduct model evaluation, experimentation, benchmarking, and performance tuning.
Collaborate with platform, embedded, perception, and validation teams for production deployment.
Mentor junior engineers, participate in technical reviews, and contribute to the perception technology roadmap.
Stay updated with the latest research in Deep Learning, Computer Vision, and Autonomous Driving technologies.
Ensure robust, scalable, and production-ready AI solutions for safety-critical automotive environments.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for an experienced Senior Applied GenAI Engineer to own the end-to-end lifecycle of Large Language Models (LLMs) and Vision-Language Models (VLMs) for Automotive and ADAS applications. The role involves adapting, fine-tuning, deploying, and optimizing production-grade GenAI solutions while ensuring scalability, reliability, cost efficiency, and performance. The ideal candidate should have strong expertise in Generative AI, Multimodal AI, Python, PyTorch, Hugging Face, MLOps, Docker, Kubernetes, cloud platforms (AWS/Azure/GCP), and production deployment of AI models. Experience with automotive datasets and autonomous driving applications is highly preferred.
Responsibilities
Design, fine-tune, and deploy LLMs and Vision-Language Models for Automotive & ADAS use cases.
Develop multimodal data pipelines, evaluation frameworks, and production inference services.
Optimize model performance using LoRA/QLoRA, quantization, batching, and inference optimization techniques.
Build scalable REST APIs and production-grade AI services using Docker, Kubernetes, and cloud platforms.
Work with Hugging Face, PyTorch, vLLM, Triton, TensorRT-LLM, and related GenAI frameworks.
Monitor model accuracy, latency, throughput, GPU utilization, and operational costs.
Diagnose model failure modes, hallucinations, and robustness across real-world scenarios.
Collaborate with perception, embedded, platform, and release engineering teams to integrate AI solutions.
Drive best practices in MLOps, evaluation, experimentation, and continuous improvement.
Mentor team members and contribute to the technical direction of the GenAI workstream.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
