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JD::
We are seeking a highly experienced SAP CO Consultant with strong expertise in Product Costing, Material Ledger, and COPA (Controlling Profitability Analysis). The ideal candidate will have 12+ years of SAP FICO/CO experience with a focus on delivering complex implementations, support engagements, and business process transformations.
Required Skills & Experience
Core Skills
- 12+ years of SAP FICO experience with strong hands-on expertise in CO
- Deep expertise in:
- Product Costing
- Material Ledger (ML)
- COPA (both costing-based & account-based)
- Strong knowledge of S/4HANA CO functionalities
Technical & Functional Skills
- Experience in:
- Cost Object Controlling
- Variance Calculation & Settlement
- Strong understanding of:
- FI integration with CO
- Good knowledge of:
- SAP tables & debugging concepts (preferred)
Project Experience
- At least 2–3 end-to-end implementations
- Experience in:
- Rollouts & support engagements
- Exposure to S/4HANA migration/conversion projects is highly preferred
Soft Skills
- Strong analytical and problem-solving skills
- Excellent stakeholder management and communication skills
- Ability to work independently and lead teams
Preferred Qualifications
- SAP certification in S/4HANA Finance / Management Accounting (CO)
- Experience in manufacturing or product-based industries
- Knowledge of Fiori apps related to CO processes
We are seeking a talented AI/ML Engineer with strong hands-on experience in Generative AI and Large Language Models (LLMs) to join our Business Intelligence team. The role involves designing, developing, and deploying advanced AI/ML and GenAI-driven solutions to unlock business insights and enhance data-driven decision-making.
Key Responsibilities:
• Collaborate with business analysts and stakeholders to identify AI/ML and Generative AI use cases.
• Design and implement ML models for predictive analytics, segmentation, anomaly detection, and forecasting.
• Develop and deploy Generative AI solutions using LLMs (GPT, LLaMA, Mistral, etc.).
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search systems.
• Work with vector databases (FAISS, Pinecone, ChromaDB) for embedding storage and retrieval.
• Develop end-to-end AI/ML pipelines from data preprocessing to deployment.
• Integrate AI/ML and GenAI solutions into BI dashboards and reporting tools.
• Optimize models for performance, scalability, and reliability.
• Maintain documentation and promote knowledge sharing within the team.
Mandatory Requirements:
• 4+ years of relevant experience as an AI/ML Engineer.
• Hands-on experience in Generative AI and Large Language Models (LLMs) – Mandatory.
• Experience implementing RAG pipelines and prompt engineering techniques.
• Strong programming skills in Python.
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with vector databases (FAISS, Pinecone, ChromaDB).
• Strong understanding of SQL and database systems.
• Experience integrating AI solutions into BI tools (Power BI, Tableau).
• Strong analytical, problem-solving, and communication skills. Good to Have
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with Docker or Kubernetes.
• Exposure to NLP, computer vision, or deep learning use cases.
• Experience in MLOps and CI/CD pipelines


