| Two Open Position :: SAP SD :: AI Developer at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2800623&uid=cf29ec3501d04cf7a869807264902578 From: Mahesh Kumar, Testingxperts [email protected] Reply to: [email protected] Hello Everyone, We have two open positions. If you have any suitable resumes, please share them along with the candidates visa status, location, and LinkedIn profile. Title: SAP SD Consultant Location: Bay Area, CA Roles and Responsibilities: Input to the planning, evaluation and approval of projects. Take part in the delivery of small to medium sized projects. Translate business requirements into functional (SD resource) & technical (technical resource) specification documents. Evaluate demands and implement changes. Handle and resolve incidents. Delivery of quality solutions and documentation in line with company policies and standards. Preferred Qualifications: Bachelors Degree in Computer Science, Computer Engineering or any closely related field. Required Skills: 4+ years SAP SD and LE experience. Expert knowledge of the following SAP modules: SD (Sales and Distribution) and LE (Logistics execution): Sales. Pricing and rebates. Credit management. Shipping and transportation. Freight Pricing and shipment costing . Evaluated Receipt Settlement (self-billing). Billing. Intercompany. EDI. Experience in reading ABAP and debugging skills is a plus. Knowledge of the integration aspects with FICO. Experience with interfacing to external applications. Experience in the SAP Module MM and PM is a plus. Experience with S/4 HANA is a plus, but will not be applicable in their day to day activities. Key Skills Required: SAP SD, SAP LE, integration with FICO. Job Location/Client Location (with City & State) | Pleasanton, CA | Job Title/Role | AI Developer | JD | We are seeking an experienced Generative AI Developer to lead the design, development, and deployment of cutting-edge generative AI systems. The ideal candidate will combine deep technical knowledge of AI/ML (particularly large language models and diffusion models) with strong architecture and leadership skills. You will play a critical role in shaping our AI strategy and enabling innovative products powered by generative technologies. Key Responsibilities: Architect and design end-to-end generative AI solutions (text, image, audio, or multimodal) that align with business objectives. Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Stable Diffusion) and fine-tuning strategies. Lead the development of custom LLM applications, including prompt engineering, fine-tuning, RLHF, and model compression. Collaborate with cross-functional teams (engineering, product, design, data science) to integrate AI into products and platforms. Ensure responsible and ethical AI practices are embedded in system design (e.g., fairness, privacy, explainability). Guide the implementation of AI infrastructure (data pipelines, vector databases, model serving, APIs). Stay up-to-date on the latest AI research and tools, and make recommendations for adoption. Conduct proofs-of-concept, prototypes, and performance benchmarking. Mentor junior engineers and contribute to best practices and internal knowledge sharing. Required Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning 7+ years of experience in AI/ML, with 3+ years in generative AI (LLMs, diffusion models, etc.). Proven experience designing and deploying large-scale AI systems. Deep understanding of transformer architectures, tokenization, and pretraining/fine-tuning paradigms. Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, Lanhain, etc. Strong knowledge of MLOps, cloud platforms (AWS, P, Azure), and scalable architectures (e.g., microservices, serverless). Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) systems. Familiarity with responsible AI frameworks and privacy-preserving techniques. Preferred Qualifications: Experience with open-source LLMs and model distillation/quantization techniques. Exposure to multimodal AI models (e.g., CLIP, DALLE, Imagen). Contributions to AI/ML research (e.g., published papers, open-source projects). Experience building GenAI copilots, chatbots, or productivity tools. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and stakeholder management abilities. Ability to translate complex AI concepts into business value. Entrepreneurial mindset and passion for innovation. | Thanks & Regards, Mahesh Kumar | Recruiter [email protected] linkedin.com/in/mahesh-kumar-025763257 www.testingxperts.com | | Keywords: artificial intelligence machine learning materials management sfour logistics execution California South Dakota Two Open Position :: SAP SD :: AI Developer [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2800623&uid=cf29ec3501d04cf7a869807264902578 |
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| 09:39 PM 29-Sep-25 |