Sr. Systems Engineer

1 Opening Udaipur Role description STL Digital is a global IT Services and Consulting company that enables enterprises to experience the future of digital transformation We provide end to end services across product engineering software cloud data and analytics enterprise application services and cyber-security Purpose - We Engineer Experiences that create value We blend the agility of a startup with the stability of an established enterprise We re passionate about innovation Our culture is built on 4 core values 1 Respect for Individuals We value every team member s unique perspective and contributions 2 Hunger to Learn We encourage continuous growth and development 3 Promises Delivered We are committed to delivering on our commitments 4 Keep it Simple We strive for clarity and efficiency in everything we do We re looking for talented individuals to join us on this exciting journey working with our 25 Global Customers Let s build the future of tech together Job Title Data Scientist Work Location Udaipur Experience 3-5 Yrs Job Mode Work from office Responsibilities Role Overview We are seeking a Data Scientist to lead AI ML initiatives and deliver end-to-end analytics solutions on Microsoft Azure The role spans data engineering model development deployment monitoring and governance combining Python SQL and machine learning expertise with practical cloud deployment skills to solve business challenges at scale This position offers exposure to predictive prescriptive analytics computer vision and Generative AI along with hands-on experience in MLOps and cloud orchestration enabling candidates to drive digital transformation while accelerating their professional growth at the intersection of data cloud and business impact Key Responsibilities 1 Data Acquisition Understanding Collaborate with stakeholders to identify business problems suitable for AI ML solutions Gather structured and unstructured data from multiple sources PI historian SQL databases APIs IoT systems cloud storage Perform Exploratory Data Analysis EDA to understand data distribution anomalies and patterns 2 Data Cleaning Feature Engineering Preprocess raw data to handle missing values outliers and inconsistencies Perform feature extraction transformation and selection to enhance model performance Apply dimensionality reduction and encoding techniques where necessary 3 Model Development Evaluation Build predictive and prescriptive models using supervised unsupervised and reinforcement learning techniques Implement regression classification clustering time-series forecasting and deep learning algorithms Evaluate models using appropriate metrics accuracy RMSE R2-score precision recall confusion matrix Perform hyperparameter tuning and model optimization 4 Deployment Cloud Management Deploy models on MS Azure ensuring scalability availability and security Maintain and monitor performance of deployed models retraining as needed Optimize cloud resource usage and manage pipelines using Azure Machine Learning and related Services 5 Reporting Visualization Communicate model insights and recommendations to business stakeholders Develop dashboards and reports to track model performance and business impact Ensure reproducibility documentation and version control of all models and code 6 Administration Governance Ensure proper administration housekeeping and lifecycle management of deployed AI ML models and Azure resources Support version control access management and cost optimization of ML solutions in the cloud with IT Team Establish monitoring practices to ensure compliance security and sustainability of digital assets Leverage emerging AI ML technologies Generative AI NLP Computer Vision to drive innovation and business optimization Qualification Required Bachelor s Master s degree preferably in Engineering Computer Science Statistics Data Science or related disciplines Candidates from any other discipline with strong experience in AI ML data analytics and cloud deployment Python Azure are encouraged to apply Additional certifications such as Microsoft Certified Azure Data Scientist Associate or Azure AI Engineer Associate will be an added advantage Technical Skills Tools Programming Languages Python SQL Tools Platforms Jupyter Notebook Anaconda MS Azure SSMS Power BI Optional Python Libraries Frameworks Data Processing Visualization pandas numpy matplotlib seaborn plotly Supervised Learning scikit-learn XGBoost Unsupervised Learning scikit-learn hdbscan umap-learn Deep Learning Computer Vision TensorFlow Keras OpenCV Detectron2 YOLO Natural Language Processing Generative AI Optional transformers GPT LLaMA spaCy Algorithms Techniques Supervised Learning Regression Multi Linear Regression Logistic Regression Tree-based Models Decision Trees Random Forest Gradient Boosting XGBoost Unsupervised Learning Clustering K-Means Hierarchical Clustering Dimensionality Reduction Principal Component Analysis - PCA Deep Learning Convolutional Neural Networks - CNNs for image processing computer vision Recurrent Neural Networks - RNNs LSTMs - for sequential data time series Autoencoders for anomaly detection dimensionality reduction Generative AI NLP Optional Fundamentals of Transformer Models and Large Language Models GPT LLaMA Claude Gemini Cloud Deployment Skills MS Azure Azure Machine Learning AML End-to-end ML lifecycle training deployment MLOps Azure Blob Storage Data Lake Storage Raw data storage feature store model artifacts Azure Functions Serverless compute for lightweight inference or automation tasks Azure App Service Azure API Management Hosting ML models Azure Monitor Application Insights Tracking model performance drift detection logs s Azure Databricks Optional Advanced data engineering large-scale ML model training Spark-based analytics Azure Data Factory Optional Data ingestion ETL pipelines orchestration Azure Cognitive Services Optional Pre-built AI for computer vision NLP speech About STL and STL Digital About STL - STL is a leading global optical and digital solutions company providing advanced offerings to build 5G Rural FTTx Enterprise and Data Centre networks About STL Digital - STL Digital a wholly owned subsidiary of STL is a global IT services and consulting company dedicated to delivering exceptional digital transformation experiences for enterprises with a comprehensive portfolio of services including product engineering cloud and cyber security data and AI and enterprise SaaS