Big Data Processing: Design and manage scalable data pipelines to process massive datasets efficiently for model training and inference. Build, train, and fine-tune complex neural networks across text, audio, and visual modalities. Cloud Deployment: Architect and deploy models to cloud environments, leveraging distributed ...
... Word at an advanced level Experience in managing critical operational processes with SLA responsibility in an ML/AI data operations environment - Knowledge of databases (SQL, MySQL) and Advanced Excel experience working with and analyzing large datasets to drive business improvements - Familiarity with ML data annotation ...
... and technologies in data analysis and BI to drive innovation. Data Quality Management: Data Quality Assurance: Develop and implement data quality assurance processes to ensure the integrity, accuracy, and reliability of data used in analyses and reporting. Conduct regular data quality assessments and audits. Data Cleansing ...
... develop, prototype, and test analytics algorithms, writing clear specifications for implementation by engineering teams where required- Carry out BAU production processes for product components that require regular delivery, ensuring reliability and accuracy- Investigate and resolve data quality issues, user objections, or ...
... near-real-time data processing. Build data integrations using REST APIs, SFTP, files, webhooks, and database-to-database interfaces . Develop and support bi-directional data integrations between applications, databases, and external enterprise systems. Implement data synchronization, incremental processing, reconciliation, error handling, ...
... (e.g., Tableau, Power BI) to deliver executive dashboards and performance metrics Preferred qualifications, capabilities, and skills Hands-on experience with data lineage tools and techniques, including graph databases and metadata management platforms. Knowledge of data governance frameworks, data quality dimensions, and ...
Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical ...
... Shell's business units to deliver data-driven solutions through deep process understanding and technical excellence. As a Data Scientist within the Digital Process Twin (DPT) portfolio, you will apply process mining, optimization, and AI/ML techniques to process-centric data to identify inefficiencies, predict process ...
... skills Work Experience: 0-3 years Job Description Be a part of mycityband as a Data Entry Operator in Hyderabad/Secunderabad and Ahmedabad. Your role is to input data accurately to help with various tasks. Responsibilities Enter data accurately into our computer systems Check and fix any mistakes in the data Keep electronic ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... production-ready code and perform data analysis with Python and SQL Create workflows for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines and tune model performance ...
... and modern orchestration — empowering the organization to make reliable, governed, data-driven decisions. Data Platform Architecture: Design and own end-to-end data pipeline architecture — ETL/ELT, orchestration, and data modeling — across cloud-native platforms (Azure Databricks, Azure Data Factory, and/or Snowflake). Lakehouse ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
Role Overview : As a commercially savvy Lead Data Scientist, you will lead your team on client briefs whilst collaborating closely with consultants and Trade Partner stakeholders. You'll bring fresh ideas and innovative thinking to push the boundaries of what's possible with consumer analytics. You will drive AI excellence ...
... artefacts that exploit data models to understand data and data integrations. This may include modelling data flows, developing CRUD matrices to understand master data, and the use of process models to illustrate master data flows.- Analyze complex datasets to identify trends, anomalies, data gaps, and business insights that ...
... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with ...
... hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... integrating them responsibly into existing data pipelines and business processes. Data Science, Engineering & Quality Design, build and maintain scalable data-processing and analytical workflows using Python, PySpark and SQL; Collect, clean, reconcile and transform large, complex, disconnected and semi-structured datasets ...