SigniTeq - AI Analytics Engineer - Machine Learning Models

<p><p><b>About the Job :</b><br/><br/>Location : Pune / Hyderabad/ Bangalore.<br/><br/>Experience : 7-8 years.<br/><br/><b>Job Summary :</b><br/><br/>We are seeking an experienced AI Analytics Engineer with strong expertise in Azure DevOps to design, implement, and optimize data pipelines, machine learning models, and analytics solutions.<br/><br/>The ideal candidate will bridge the gap between data science, engineering, and DevOps practices to deliver scalable and production-ready AI/ML solutions.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and deploy AI/ML models and analytics workflows.<br/><br/>- Build and manage end-to-end CI/CD pipelines in Azure DevOps for data and ML projects.<br/><br/>- Automate data ingestion, preprocessing, model training, testing, and deployment.<br/><br/>- Monitor model performance and implement retraining pipelines.<br/><br/>- Work closely with data scientists, data engineers, and business stakeholders to translate requirements into scalable solutions.<br/><br/>- Ensure solutions are secure, cost-optimized, and highly available on Azure.<br/><br/>- Perform root cause analysis and continuous improvement for production issues.<br/><br/><b>Required Skills & Experience :</b><br/><br/>- Hands-on experience with Azure DevOps (pipelines, repos, artifacts, boards).<br/><br/>- Strong programming skills in Python or R for AI/ML development.<br/><br/>- Experience with Azure Machine Learning, Databricks, Synapse, Data Factory.<br/><br/>- Good understanding of MLOps principles and tools.<br/><br/>- Strong knowledge of data visualization and analytics (Power BI a plus).<br/><br/>- Familiarity with containerization (Docker, Kubernetes) for deploying ML workloads.<br/><br/>- Experience with version control (Git) and agile development practices.<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Certification in Microsoft Azure AI Engineer Associate or Azure DevOps Engineer Expert.<br/><br/>- Knowledge of LLMOps (large language model operations) and generative AI solutions.<br/><br/>- Experience with monitoring and logging tools (e.g., Application Insights, Prometheus, ELK stack).<br/><br/>- Strong problem-solving skills and ability to work in a fast-paced environment.<br/><br/><b>Soft Skills :</b><br/><br/>- Excellent communication and collaboration skills.<br/><br/>- Ability to translate technical insights into business value.<br/><br/>- Strong analytical thinking and attention to detail.</p><br/></p> (ref:hirist.tech)