Project Role Software Development Engineer Project Role Description Analyze design code and test multiple components of application code across one or more clients Perform maintenance enhancements and or development work Must have skills Machine Learning Valuable to have skills NA Minimum 3 year s of experience is required Educational Qualification Bachelors or Masters degree in Computer Science Electronics or related field Summary We are building a cutting-edge AIOps solution that leverages AI ML and Generative AI to detect anomalies in metrics-based data perform Root Cause Analysis RCA and generate intelligent recommendations for incident resolution We are seeking a highly skilled AI ML Engineer with hands-on experience in GenAI LLM fine-tuning and prompt engineering to enhance our recommendation engine This is a production-focused role requiring expertise in deploying AI ML solutions on scale Roles Responsibilities 1 Model Development Build and optimize AI-driven anomaly detection and RCA models tailored for AIOps 2 GenAI Integration Design and implement LLM-powered recommendation engines to extract symptoms analyze historical data and suggest probable impact and resolutions 3 LLM Fine-Tuning Fine-tune large language models and optimize prompt engineering for GenAI-based use cases 4 MLOps Implementation Build end-to-end MLOps pipelines for automation monitoring and continuous improvement 5 Vector Search Work with vector databases e g FAISS Pinecone Weaviate to enhance historical data retrieval and incident matching 6 Cloud Deployment Deploy AI models using Azure services such as Functions ADF ADO Pipelines and Databricks 7 Cross-Team Collaboration Integrate AI-driven insights into incident management workflows in collaboration with engineering and operations teams 8 Innovation Stay current with advancements in AI AIOps and GenAI to drive continuous innovation Professional Technical Skills 1 Years of hands-on experience in AI ML development with a focus on AIOps and anomaly detection 2 Strong expertise in LLM fine-tuning prompt engineering and GenAI-based recommendation systems 3 Experience with OpenAI APIs transformers and deep learning architectures for NLP 4 Proficiency in Python PyTorch TensorFlow and related AI frameworks 5 Hands-on experience with vector databases FAISS Pinecone Weaviate 6 Knowledge of MLOps practices including model monitoring automated retraining and CI CD for AI 7 Familiarity with Azure services Azure Functions ADF ADO Pipelines Databricks 8 Experience with cloud-native deployments 9 AIOps Observability AI-driven anomaly detection RCA and incident resolution 10 GenAI NLP LLM-based recommendation systems and prompt engineering 11 MLOps Cloud AI Scalable deployment and lifecycle management of AI models 12 Secure AI model deployment and data governance 13 Responsible AI practices and audit readiness 14 Integration of AI solutions within enterprise compliance frameworks 15 Develop and deploy scalable AI ML solutions for AIOps leveraging GenAI and LLMs to enhance incident management and resolution Additional Information - The candidate should have minimum 5 years of experience in Machine Learning - This position is based at our Bengaluru office - A Bachelors or Masters degree in Computer Science Electronics or related field is required Bachelors or Masters degree in Computer Science Electronics or related field

📌 Software Development Engineer (Karnataka)
🏢 Accenture
📍 Karnataka