GEN AI | Bengalore | SAP | DSA SAP Accounts

GEN AI | Bengaluru | SAP | DSA SAP Accounts
• Location: Bengaluru
Exp. :- 6- 9 yrs

The team

Enterprise technology must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about ET&P

Your work profile

Lead business discovery sessions, workshops, and stakeholder discussions to gather requirements and identify opportunities for AI-driven transformation.

Translate business requirements into detailed functional and technical specifications, ensuring alignment with business goals.

Analyze existing processes and recommend innovative solutions using Generative AI, Machine Learning, and Automation technologies.

Design, develop, and deploy Generative AI applications leveraging Large Language Models (LLMs) and frameworks such as LangChain, LlamaIndex, and Semantic Kernel.

Build and optimize Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone, Chroma, FAISS, and Weaviate.

Develop AI/ML models using Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn.

Implement prompt engineering techniques to improve model accuracy, efficiency, and business outcomes.

Collaborate with architects, developers, and integration teams to design scalable AI solutions, APIs, and microservices.

Deploy and manage AI solutions on cloud platforms such as AWS, Azure, or Google Cloud.

Establish and maintain MLOps practices using tools such as MLflow, Kubeflow, Databricks, Docker, and Kubernetes.

Support User Acceptance Testing (UAT), validate business requirements, and ensure successful implementation of AI solutions.

Drive AI governance, model monitoring, security, compliance, and responsible AI practices.

Work with Agile/Scrum teams to deliver high-quality AI and data-driven solutions.

Mentor junior team members, provide technical guidance, and contribute to capability building within the organization.

Stay updated with emerging trends in Generative AI, Agentic AI, multimodal AI, and advanced machine learning technologies.

Key skills required

• Strong proficiency in Python programming.
• Experience with Machine Learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Hands-on experience with Generative AI and LLM frameworks including LangChain, LlamaIndex, Semantic Kernel, or similar.
• Experience with RAG architectures, prompt engineering, and vector databases (Pinecone, Chroma, FAISS, Weaviate, etc.).
• Knowledge of NLP, deep learning, and transformer architectures.
• Experience with REST APIs, microservices, and software engineering best practices.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of MLOps tools such as MLflow, Kubeflow, Databricks, Docker, and Kubernetes.
• Experience with Git, CI/CD pipelines, and DevOps practices.

Preferred Skills

• Experience with AI Agents and Agentic AI frameworks.
• Knowledge of multimodal AI solutions (text, image, audio, and video).
• Exposure to AI governance, model monitoring, and responsible AI practices.
• Experience working in Agile/Scrum environments.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Relevant certifications in AI/ML, Cloud, or Generative AI are preferred.