9 Timeseries Jobs

As a Quant Developer (Python) for Alphinion Capital, you will be involved in building systematic/algorithmic trading strategies for Indian capital markets. You will play a key role in enhancing the in-house trading stack by working on both the backend (data/infra) and frontend (dashboards/apps). **Key Responsibilities:** - Build and maintain data pipelines for time-series market data such as equities, F&O minute bars, and ticks. - Create tools for research, backtesting, and live trading while assisting in automating existing processes. - Develop interactive dashboards using Dash/Streamlit for monitoring, analytics, and execution. - Implement and enhance best-execution and risk/position manag...

As a Solution Architect - Digital Manufacturing at Trelleborg, you will play a crucial role in shaping the future of manufacturing by developing advanced digital tools, connecting IoT data, and enabling data science solutions. Your responsibilities will include: - Orchestrating and strategically developing solutions for the data management of manufacturing-related data. - Setting up and maintaining data pipelines and data management systems hands-on. - Leading the technical implementation projects in Trelleborg's global production sites. - Managing a portfolio of tools for data management and digital manufacturing strategically. - Identifying and analyzing new IoT solutions and technologies ...

As a Senior Technical Architect specializing in Machine Learning Solutions, you will play a crucial role in leading the end-to-end architecture of advanced ML-driven platforms within our enterprise. Your expertise in Machine Learning (ML), Artificial Intelligence (AI), and scalable ML system design will be instrumental in delivering impactful, production-grade AI solutions across the organization. **Key Responsibilities:** - Lead the architecture and design of enterprise-grade ML platforms, encompassing data pipelines, model training pipelines, model inference services, and monitoring frameworks. - Architect and optimize ML lifecycle management systems (MLOps) to facilitate scalable, reprodu...

As a Senior Analyst/Team Lead for WFM Forecasting at our company based in Bangalore, you will be leading a team of experts in Time Series, Predictive Analysis, Machine Learning, and Python programming. Your primary responsibility will be to develop and implement accurate forecasting models to optimize our workforce planning and management processes. You will lead the WFM Forecasting team in creating and implementing precise forecasting models using advanced techniques such as Time Series, Predictive Analysis, and Machine Learning. Your role will involve collaborating with stakeholders to understand business requirements and develop models tailored to meet their needs. Additionally, you will ...

Are you passionate about being part of a successful team Are you a QA Engineer looking for a good opportunity Our Enterprise technology team is developing cutting-edge and innovative solutions to monitor, control, and optimize our energy assets, providing customers with the peace of mind needed to reliably and efficiently improve their operations. Join our innovative Software Engineering Team in building next-generation cloud platform solutions to meet the mission-critical requirements of our customers. As a Quality Assurance Engineer, you will be responsible for providing expertise in Design, Architecture, Development, Continuous Integration, and Delivery to ensure constant innovation. You ...

Lead a team of 4-8 data scientists to develop machine learning capabilities within a Databricks-Azure platform. Provide guidance on delivering complex machine learning systems that are in line with product and platform objectives. Strive to maintain a balance between scientific rigor and practical engineering principles. Define the model lifecycle, tooling, and architectural direction for the projects. The ideal candidate should possess advanced skills in machine learning including supervised and unsupervised modeling, time-series analysis, interpretability, MLflow, Spark, and TensorFlow/PyTorch. Additionally, expertise in engineering aspects such as feature pipelines, model serving, CI/CD p...

The Data Chapter at our organization serves as a strategic partner, utilizing state-of-the-art AI and ML technologies to drive data-led initiatives that enhance risk management, boost revenue generation, and enhance operational efficiency. We are committed to maintaining data integrity and governance while delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout DBS. Through our collaborative approach, we provide timely and actionable solutions that align with the organization's strategic goals. As a member of our team, your responsibilities will include designing, developing, and implementing advanced AI/ML models to uncover actionable ...

As a Data Analyst at our leading MNC tech space client, you will be joining a high-impact team dedicated to AI-driven optimization for industrial batch processing. Your role will involve analyzing operational data, deriving insights, and collaborating with various teams to enhance material efficiency and device performance in production plants. Key Responsibilities: - Analyze batching data and device-level feed cycle logs to evaluate product performance and identify areas for enhancement. - Work closely with Product Owners to align analytical outcomes with the Batch AI roadmap. - Develop and maintain performance dashboards to monitor key performance indicators such as batching accuracy, mate...

As a Senior Data Scientist with a focus on Predictive Analytics and expertise in Databricks, your primary responsibilities will involve designing and implementing predictive models for various applications such as forecasting, churn analysis, and fraud detection. You will utilize tools like Python, SQL, Spark MLlib, and Databricks ML to deploy these models effectively. Your role will also include building end-to-end machine learning pipelines on the Databricks Lakehouse platform, encompassing data ingestion, feature engineering, model training, and deployment. It will be essential to optimize model performance through techniques like hyperparameter tuning, AutoML, and leveraging MLflow for t...