AI / ML Engineer

THE WORK: Explore new horizons with enthusiasm and curiosity. You will perform independently and become a subject matter expert while actively participating and contributing in team discussions. Your contributions will help provide thoughtful solutions to work-related challenges. This opportunity invites you to engage deeply with advanced Machine Learning, fostering growth and innovation. Join us in shaping the future with your expertise and passion. Responsibilities: Design and develop AI/ML and Generative AI solutions using Python Build and deploy applications leveraging Large Language Models (LLMs) Develop end-to-end pipelines including data ingestion, preprocessing, model integration, and deployment Implement prompt engineering and fine-tuning strategies for LLMs Integrate AI services into web/mobile/backend applications via APIs Work with vector databases and embeddings for semantic search and RAG architectures Optimize models and pipelines for performance, latency, and cost Collaborate with cross-functional teams to translate business requirements into AI solutions Ensure responsible AI practices including data privacy, bias mitigation, and explainability Monitor and improve model performance in production environments ________________________________________ Required Skills & Qualifications 6-8 years of experience in software engineering / AI / ML, Python roles, Strong programming expertise in Python Hands-on experience with ML/DL frameworks like PyTorch or TensorFlow Experience with LLM frameworks such as LangChain or LlamaIndex Solid understanding of NLP concepts and transformer-based models Experience with REST APIs and microservices architecture Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) Experience with version control systems like Git ________________________________________ Preferred Qualifications Experience working with APIs from providers like OpenAI or open-source LLMs (Llama, Mistral) Knowledge of Retrieval-Augmented Generation (RAG) architectures Experience with model fine-tuning and evaluation techniques Exposure to cloud platforms (AWS / GCP) for deployment (excluding Azure) Understanding of containerization tools like Docker ________________________________________ Soft Skills Strong analytical and problem-solving skills Ability to translate complex AI concepts into practical solutions Good communication and stakeholder management skills Ability to work independently and in collaborative environments ________________________________________ Nice to Have Experience with AI agents / autonomous workflows Knowledge of MLOps practices and CI/CD for ML pipelines Exposure to multimodal AI (text, image, audio models) Experience with real-time AI applications (chatbots, voice bots, copilots) TBD Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.