10 Timeseries Models Jobs

Role Overview: You will be joining Winbold, a startup focused on an AI-driven investment platform. As a Data Science and Machine Learning Engineer, you will be responsible for hands-on tasks such as feature engineering, model training, and building predictive models for real-time predictions and forecasts. You should have expertise in ML Packages like sklearn, xgboost, and timeseries models, along with experience in feature engineering, MLFlow for model experimentation, model visualization, and deploying models in Cloud and hosted environments at scale. Developers with AI-driven mindset are encouraged to apply. Immediate joining is required, and candidates with notice period should not apply...

You are seeking a highly skilled AI/ML Engineer with a strong background in statistical modelling, machine learning algorithms, and scalable data engineering. As an AI/ML Engineer, your responsibilities will include designing, developing, and deploying end-to-end Big Data and Machine Learning solutions at an enterprise scale. You will also be building and maintaining Big Data preprocessing and ETL pipelines to ensure consistency, reproducibility, and data quality. Additionally, you will work on advanced analytical use cases such as Churn Modelling, Risk & Fraud Modelling, Propensity Modelling, Market Basket Analysis, Recommender Systems, Time Series Forecasting, Anomaly Detection, Segmentati...

As an AI Engineer at our client's company in Pune, India, you will be responsible for designing, building, and scaling systems to power thousands of riders across India as part of the Last Mile 2.0 urban logistics project. Key Responsibilities: - Build and train forecasting models - Integrate model outputs into the real-time decision engine using Python APIs, Redis, and AWS - Create training/evaluation sets using simulation data - Optimize models for inference speed using ONNX/TorchScript and quantization techniques - Collaborate with the founders to shape the model roadmap and define metrics Qualifications: - Strong proficiency in Python along with PyTorch/TensorFlow - Experience with time-...

Primary skills:Technology->Machine Learning->Python Excellent Python programming and debugging skills. (Refer to Pytho JD given below) - Proficiency with SQL, relational databases, & non-relational databases - Passion for API design and software architecture. - Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners - Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch). - Experience unsupervised ML algorithms. - Experience in Timeseries models and Anomaly detection problems. - Experience with modern large language model (Chat GPT/BERT...

Responsibilities : - Excellent Python programming and debugging skills. (Refer to Pytho JD given below) - Proficiency with SQL, relational databases, & non-relational databases - Passion for API design and software architecture. - Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners - Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch). - Experience unsupervised ML algorithms. - Experience in Timeseries models and Anomaly detection problems. - Experience with modern large language model (Chat GPT/BERT) and applications. - Expertise...

Responsibilities : - Excellent Python programming and debugging skills. (Refer to Pytho JD given below) - Proficiency with SQL, relational databases, & non-relational databases - Passion for API design and software architecture. - Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners - Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch). - Experience unsupervised ML algorithms. - Experience in Timeseries models and Anomaly detection problems. - Experience with modern large language model (Chat GPT/BERT) and applications. - Expertise...

Role Overview: As an Anti Money Laundering (AML) Independent Validation (IV) analyst at Citi Analytics & Information Management team in Bangalore, you will be responsible for conducting Independent Validation on AML Scenario validation, complex statistical analysis, data visualizations, and data processing based on globally consistent standards and regulatory guidelines. Your role will involve presenting findings in a clear and understandable manner both in writing and verbally, ensuring high levels of integrity, quality, and attention to detail. Key Responsibilities: - Perform Independent Validation of AML Scenarios, KPI reports, AML Cards Scenarios, etc., following the AML Global Methodolo...

The Analytics & Information Management team at Citi is seeking an Anti Money Laundering (AML) Independent Validation (IV) analyst to join the team in Bangalore. As an IV analyst, you will be responsible for conducting independent validation on AML scenarios, statistical analysis, data visualizations, and data processing in alignment with global standards and regulatory guidelines. Your role will involve presenting findings clearly both in written reports and verbally to stakeholders. To excel in this role, you should have a background in statistics and/or mathematics, with experience in data analysis and data mining being advantageous. Fluency in English, strong communication skills, and the...

Job Description: As a Data Scientist - Deputy Manager, your primary responsibility will be to implement solutions to problems using data analysis, data mining, optimization tools, and machine learning techniques combined with statistics. You will be tasked with building data-science and technology-based algorithmic solutions to address various business needs. In this role, you will design large-scale models utilizing Regression, Linear Models Family, and Time-series models. Additionally, you will be driving the collection of new data and refining existing data sources to enhance analytical capabilities. An essential aspect of your role will involve analyzing and interpreting the results of a...

Job Description: Total 2 industry experience 3 year experience in applying machine learning techniques to real business problems Key Responsibilities: Managing large machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution Collaborate with CPU GPU and Neural Engine hardware backends to push inference performance and efficiency Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated models including large language models Automate da...