95 Data Preprocessing Jobs - Page 4

About Us: At Novus Loyalty, we are committed to building cutting-edge AI-driven solutions that enhance business performance and user experience. We are currently seeking a skilled and passionate AI Engineer to join our team, with a strong emphasis on Azure AI technologies. Key Responsibilities: Design, develop, and deploy AI models using Azure AI services. Work on various AI domains, including Generative AI, Agentic AI, and other advanced ML models. Collaborate with cross-functional teams to integrate AI solutions into production environments. Conduct data analysis and preprocessing to support model development. Monitor and optimize AI model performance and accuracy. Stay up-to-date with emerging AI technologies, tools, and best practices. Required Qualifications: Minimum 3 years of hands-on experience in AI/ML model development. Proven experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI). Strong programming skills in Python or other relevant languages. Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large language models (LLMs), NLP, or generative AI applications is a plus. Familiarity with MLOps practices and cloud-based model deployment. Excellent problem-solving and communication skills.

Job Title: Data Analyst Location: Bangalore Experience: 6+ years Role Overview We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities Analyze time-series and sensor data from various sources Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. Work with stakeholders to understand reporting needs and deliver businessoriented outputs. Qualifications & Required Skills Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). Proficiency in Python or R for data manipulation and exploratory analysis. Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). Solid grasp of statistical analysis and anomaly detection methods. Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills Domain experience in airports, smart infrastructure, transportation, or logistics. Familiarity with data platforms (Snowflake, BigQuery, Custom-built using opensource). Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. Basic understanding of AI/ML workflows and data preparation requirements.

AI/ML Model Development: Design and implement machine learning models and algorithms to address specific business needs. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: Collect, preprocess, and analyze large datasets to extract meaningful insights. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: Integrate machine learning models into existing systems and applications. Deploy models in production environments and monitor their performance. Research and Innovation: Stay updated with the latest advancements in AI and machine learning technologies. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. Provide technical guidance and support to team members and stakeholders. Documentation and Reporting: Document model development processes, code, and methodologies. Prepare reports and presentations on model performance and project outcomes.

Responsibilities: AI/ML Model Development: 1. Design and implement machine learning models and algorithms to address specific business needs. 2. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: 1. Collect, preprocess, and analyze large datasets to extract meaningful insights. 2. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: 1. Integrate machine learning models into existing systems and applications. 2. Deploy models in production environments and monitor their performance. Research and Innovation: 1. Stay updated with the latest advancements in AI and machine learning technologies. 2. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: 1. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. 2. Provide technical guidance and support to team members and stakeholders.

We are a pioneering company dedicated to Revolutionizing autism with AI-driven solutions. Role: Develop AI models using Python and TensorFlow Implement machine learning algorithms Collaborate with data scientists to enhance AI systems Required Candidate profile Optimize AI solutions for performance Integrate AI with business applications Stay updated on AI advancements.

RAG Pipeline Architectures Fine/Prompt/Instruction Tuning of LLMs machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). data wrangling, data cleaning, data preprocessing, and data

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

We are looking for a detail-oriented and curious Junior Data Scientist to join our analytics team. In this role, you will support the development of predictive models and perform data trend analysis to drive business decisions. This is a great opportunity for someone early in their data science career to work with real-world datasets and grow in a collaborative, data-driven environment. Key Responsibilities: Analyze large datasets to identify trends, patterns, and insights. Assist in building and validating predictive models using machine learning algorithms. Work with cross-functional teams to understand data needs and deliver actionable solutions. Perform data preprocessing, cleaning, and feature engineering. Create data visualizations to present findings clearly to stakeholders. Support ongoing improvement of existing models and data pipelines.

Experienced AI Engineer with 4+ years in deploying scalable ML solutions on cloud platforms like AWS, Azure, and GCP and Skilled in Python, SQL, Kubernetes, and MLOps practices including CI/CD and model monitoring.