4 Model Design Jobs

As a Computer Vision Engineer at wTVision in Noida, India, you will be an integral part of our development team, focusing on designing and implementing cutting-edge computer vision algorithms and systems. Your role will involve optimizing machine learning algorithms, conducting spatial and temporal analysis of object movements, developing real-time processing algorithms for Vision-AI perception metadata, and collaborating with the product team to define new features and functionalities. Your responsibilities will include analyzing and enhancing the end-to-end accuracy of the computer vision pipeline, staying abreast of emerging technologies, working on scalable software solutions with the software development team, and deploying models on edge devices like NVIDIA Jetson. You will be expected to have a strong academic background in Computer Science or related fields, proficiency in programming languages such as Python and C++, experience in image and video processing, and excellent communication and collaboration skills. Ideal candidates should have hands-on expertise with PyTorch, TensorRT, CuDNN, and Deep Learning frameworks like TensorFlow and Keras. A solid understanding of object-oriented programming, parallel computing, and concepts like Linear Algebra and 3D Geometry is required. Additionally, experience with NVIDIA Deep Stream, Jetson, and CUDA programming, knowledge of cloud platforms such as AWS, GCP, or Azure, familiarity with containerization technologies, and contributions to the computer vision community are considered advantageous. If you are self-motivated, possess strong problem-solving skills, and can deliver high-quality work while handling multiple tasks, we encourage you to apply. A passion for sports and technology will be a plus in this dynamic and innovative work environment.,

Data Scientist 2-Digital Banking Kotak 811-Regional Sales Role: Data Scientist 2 Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 4- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 5- Have worked across end to end in model design, development, validation, documentation & deployment. 6- Create great data stories with expertise in robust EDA and statistical inference

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Experience: 5+years Location: Bengaluru Role Overview We are looking for a Senior Data Engineer who will play akey role in designing, building, and maintaining data ingestion frameworks andscalable data pipelines. The ideal candidate should have strong expertise inplatform architecture, data modeling, and cloud-based data solutions to supportreal-time and batch processing needs. What you'll be doing: Design, develop, and optimise DBT models to support scalable data transformations Architect and implement modern ELT pipelines using DBT and orchestration tools like Apache Airflow and Prefect Lead performance tuning and query optimization for DBT models running on Snowflake, Redshift, or Databricks Integrate DBT workflows & pipelines with AWS services (S3, Lambda, Step Functions, RDS, Glue) and event-driven architectures Implement robust data ingestion processes from multiple sources, including manufacturing execution systems (MES), Manufacturing stations, and web applications Manage and monitor orchestration tools (Airflow, Prefect) for automated DBT model execution Implement CI/CD best practices for DBT, ensuring version control, automated testing, and deployment workflows Troubleshoot data pipeline issues and provide solutions for optimizing cost and performance. What you'll have: 5+ years of hands-on experience with DBT, including model design, testing, and performance tuning 5+ years of Strong SQL expertise with experience in analytical query optimization and database performance tuning 5+ years of programming experience, especially in building custom DBT macros, scripts, APIs, working with AWS services using boto3 3+ years of Experience with orchestration tools like Apache Airflow, Prefect for scheduling DBT jobs Hands-on experience in modern cloud data platforms like Snowflake, Redshift, Databricks, or Big Query Experience with AWS data services (S3, Lambda, Step Functions, RDS, SQS, CloudWatch) Familiarity with serverless architectures and infrastructure as code (CloudFormation/Terraform) Ability to effectively communicate timelines and deliver MVPs set for the sprint Strong analytical and problem-solving skills, with the ability to work across cross-functional teams. Nice to have Experience in hardware manufacturing data processing Contributions to open-source data engineering tools Knowledge of Tableau or other BI tools for data visualization Understanding of front-end development (React, JavaScript, or similar) to collaborate effectively with UI teams or build internal tools for data visualization