Software Development Engineer

 About The Role  
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
Good to have skills :NA
Minimum 3 year 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. Qualification Bachelors or Masters degree in Computer Science Electronics or related field