Deloitte

Consultant | GEN AI | Bengaluru | SAP | DSA SAP Accounts

Deloitte

IndiaPosted about 1 month ago
full time
Onsite
Salary
Not disclosed
Posted: July 22, 2026
|
Source: external

Required Skills

Python
Machine Learning
Deep Learning
NLP
TensorFlow
PyTorch
AWS
Azure
Docker
Kubernetes
Git
CI/CD
Data Science
Generative AI
LLM

About This Role

Job requisition ID :: 109181 Date: Jul 22, 2026 Location: Bengaluru Designation: Consultant Entity: Deloitte Touche Tohmatsu India LLP **Location** ------------ Bangalore, India (Hybrid/Onsite) **Experience** -------------- 3–10 Years **Job Summary** --------------- We are seeking a highly skilled and innovative AI Engineer to design, develop, deploy, and optimize AI/ML solutions that solve complex business challenges. The ideal candidate will have strong expertise in Machine Learning, Generative AI, Large Language Models (LLMs), and cloud\-based AI platforms. This role involves working closely with business stakeholders, data scientists, software engineers, and solution architects to deliver scalable AI\-driven products and services. **Key Responsibilities** ------------------------ * Design, develop, and deploy Machine Learning and Generative AI solutions for enterprise use cases. * Build and optimize AI applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and open\-source models. * Develop Retrieval\-Augmented Generation (RAG) pipelines using vector databases and embedding models. * Fine\-tune, evaluate, and monitor AI/ML models for performance, scalability, and reliability. * Integrate AI solutions into enterprise applications using APIs and microservices architectures. * Collaborate with cross\-functional teams to gather requirements and translate business needs into AI solutions. * Implement MLOps practices for model deployment, monitoring, versioning, and lifecycle management. * Ensure AI solutions adhere to responsible AI, security, privacy, and governance standards. * Stay current with emerging AI technologies, frameworks, and industry best practices. **Required Skills** ------------------- ### **Technical Skills** * 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, 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 related field. * Relevant certifications in AI/ML, Cloud, or Generative AI are preferred. **What Success Looks Like** --------------------------- * Delivering production\-grade AI solutions that drive measurable business impact. * Building scalable and reliable AI systems with strong performance and governance. * Contributing to AI innovation and helping establish best practices across the organization. **Why Join Us?** ---------------- * Work on cutting\-edge AI and Generative AI initiatives. * Collaborate with industry\-leading experts and global teams. * Opportunity to shape the future of AI\-driven business transformation. * Continuous learning, certification, and career growth opportunities. Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.

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