... with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy) - Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models and solutions - Experience with version control (Git), collaborative development, ...
... https://jobeax.com/link/6P8s6hBOPJeiA62U will work closely with data scientists, analysts, product engineers, and other engineering teams to build a modern, cloud-native data https://jobeax.com/link/2Y4cCTL2qZrUlGJ5 You'll Do : - Design, build, and maintain robust batch and streaming data pipelines that ingest data from multiple sources ...
India, Gurugram
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UNISON INTERNATIONAL CONSULTING (The Recruitment Company)
... On-site | Full-time Experience: 0–5 Years Good typing speed with strong accuracy Proficiency in MS Excel, MS Word & Google Sheets Strong attention to detail and data accuracy Ability to manage and organize large volumes of data Basic computer and internet skills Familiarity with data entry, documentation, and record maintenance. ...
... reporting, and business intelligence solutions. Optimize database performance, query execution, and data workflows. Ensure data governance, security, and scalability standards are maintained. Strong experience with Neo4j Graph Database. Expertise in Graph Database concepts and Graph Data Modeling. Hands-on experience with ...
... models Strong problem-solving skills with the ability to work in a hybrid setup Responsibilities Develop and optimize ML/GenAI models for business use cases Work with large datasets using PySpark and SQL Collaborate with engineering and product teams to design scalable solutions Generate actionable insights through data analysis ...
... systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, Kubernetes delivery, database integration, and secure LLM API https://jobeax.com/link/LMrjeOxMWhdXVNNX Responsibilities :- ...
... late-arriving data patterns - Experience with orchestration and transformation tooling (e.g., Strong data quality discipline: automated tests/expectations, monitoring/alerting, and clear SLAs for critical datasets - Comfortable working hybrid in Bengaluru (Whitefield) and overlapping 3–4 hours with EST Bonus Points: Deep ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...
... Microsoft data and AI solutions align with Darktrace's architecture principles, Azure landing zones, security standards and platform roadmaps.- AI solutions operate within agreed observability, evaluation, monitoring and operational governance controls.- Copilots and agents deliver reliable, auditable and trusted outcomes with ...
... measurement approaches Ideal For: Senior and Staff data scientists who want one of the hardest, most consequential analytics surfaces in AI software Applied ML practitioners who'd rather build the pipeline than wait for one Analysts who moved into ML and never stopped shipping Anyone drawn to where classical ML, LLM-native insight ...
... integrity of clinical data through rigorous quality control and validation checks. - Mentoring and guiding junior programmers and providing technical leadership within the data science programming team. Your Profile: You will have solid clinical data science experience, with the ability to manage competing priorities and develop ...
... multiple sources.- Experiment with statistical and machine-learning algorithms to improve forecasting accuracy.- Deploy models into production and continuously monitor their performance.- Collaborate with product and business teams to convert complex data insights into practical business strategies.MUST-HAVE SKILLS :- Data ...
... Key responsibilities : Design and develop data models using generative AI and LLM technologies. Implement retrieval-augmented generation techniques to improve data accessibility. Analyze complex datasets to extract actionable insights and drive strategic initiatives. Collaborate with cross-functional teams to define project ...
... disciplined quality-control practices throughout the task creation and review process. Requirements - Professional experience in data entry, data validation, quality assurance, or a closely related field. - Experience working with high-accuracy or data-integrity-sensitive processes. - Strong ability to identify data inconsistencies, ...
... pipelines Automate workflows for data ingestion, preprocessing, training, validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and infrastructure health Ensure reproducibility, traceability, and compliance with regulatory standards Work closely with data scientists, data engineers, ...
... time-sensitive data https://jobeax.com/link/q6mT8MCfo9RISiNs Responsibilities:- Design, develop, test, and maintain integrations that extract financial and operational data from enterprise source systems.- Analyze source structures and collaborate with Business Analysts to define mappings, transformations, validations, and business ...
... compliance-sensitive data environments Core Skills - Data Entry - Data Validation - Data Quality Assurance - Error Detection - Data Reconciliation - Accuracy Control - Data Integrity - Format Reconciliation - Dataset Curation - CSV & Spreadsheet Validation - PDF Data Review - Document Validation - Quality Control - Evaluation Rubric ...
... time-series forecasting, classification, regression, clustering, recommendation, or optimization problems. Proven ability to mentor junior data scientists or analysts, provide technical guidance, and establish best practices for machine learning development. Strong cross-functional collaboration skills with product, engineering, ...
... transaction-level data modeling, data quality, auditability, data lineage, and production pipeline ownership, preferably within finance, risk, or compliance data https://jobeax.com/link/cZ8zpMXwj45ivho4 Responsibilities : - Own data architecture and system design decisions for data pipelines and data models.- Design and ...
... databases and storage systems for performance, reliability, and scalability. - Monitor data infrastructure, troubleshoot failures, and improve system availability and performance. - Implement data quality, security, and governance practices across data pipelines and platforms. - Apply sound data modeling, ETL, and data ...