Our partner is looking for a Senior Data Scientist – Adversarial based in India. Join a global web security environment where advanced data science directly contributes to protecting major digital platforms and brands. As a Senior Data Scientist, you will investigate sophisticated attacks, analyze large-scale traffic data, ...
... state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A, or predictive analytics. - Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models. - Deployment: Implement scalable solutions for ...
Key Responsibilities : - Design, implement, and manage CI/CD pipelines for data and Hadoop applications.- Develop and maintain automated build, deployment, testing, and release processes.- Work extensively with OpenShift and containerized application environments.- Deploy, configure, monitor, and troubleshoot applications ...
... AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, DABs, DLT), PySpark, and SQL, delivering enterprise-scale data transformation, and supporting Power BI reporting through well-modelled silver/gold layer datasets. The Data Engineer works closely with the Head of Data & Analytics ...
Data Scientist Starts Immediately Competitive salary Competitive salary Experience Data Scientist RightProfile Mumbai (Hybrid) Full-time 23 yrs Syntellect is building the intelligence layer for lending in markets where bureau data stops. RightProfile our field AI platform is live across India and East Africa, and expanding ...
... existing business processes, identify gaps, and recommend data-driven improvements. - Build modern real-time data solutions using Scala , Apache Spark , and Azure Databricks . - Partner with data scientists and business stakeholders to operationalize machine learning models. - Champion data governance, metadata management, and ...
Company : Very big MNCRole : GCP Data EngineerExperience : 8 - 15 yrsNotice Period : 30 daysLocation : PAN INDIATech Stack :- GCP data engineer- Pyspark- Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, ...
... basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further ...
... and contribute to strategic decisions on platform evolution, including generative AI integration and event-driven systems. Data Science and Machine Learning - Data Science and Machine Learning - Python Database - Database Programming - SQL Big Data - Big Data - Pyspark Data & AI - Data Engineering - Data Quality & Validation ...
... experience in data engineering, building and maintaining large-scale data pipelines and platforms.- 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications.- Experience building interactive applications using Foundry Workshop, ...
... : - 10+ years of experience in Software or Data Engineering with large-scale, high-traffic, fault-tolerant systems.- Deep experience with semantic modeling, data lakehouse, and data product development.- Expert-level SQL and Python skills.- Experience with modern data platform technologies : Snowflake, ClickHouse, or similar ...
A data engineer role in the Specialty Data team should be able to analyze data from multiple source system and design/model Data Marts based on business requirements. Therefore, strong data analytics and technical skills are a must. He or She should be able to create data models, STTMs and other technical documents. The ...
... reasoning models autonomous agents) for HR use cases. https://jobeax.com/link/2DENLGgQM7whDhaE / https://jobeax.com/link/s1WvHFV9ITSwCkyS in Computer Science Data Science AI or related field Relevant years of experience in Data Science / AI / ML roles Experience in Gen AI Agentic AI will be preferred Relevant years of experience ...
... identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Prepares big data, implements data models, and develops database to support the business ...
Role: Senior Data Scientist Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience Work closely with the business stakeholders to identify the potential Data science applications Contribute by doing opportunity analysis, building ...
... robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers. Apply schema evolution and data versioning to support agile data development. Platform Integration & Data Ingestion: Connect and ingest data from enterprise ...
... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...
... Kinesis.- Modern Data Stack : Design and scale a unified Lakehouse/Warehouse (e.g., Databricks, Snowflake) to handle both streaming telemetry and complex enterprise data (ERP, CRM, MES).- Data Pipelines : Build automated, resilient ETL/ELT workflows using tools like Apache Airflow, dbt, and PySpark to ensure high data quality ...
... strategies. Develop and maintain systems using Python, SQL, PySpark, and Django for front-end development. Work directly with clients and end-users and address their data needs Utilize databases and tools including and not limited to, Postgres, Redshift, Airflow, and MongoDB to support our data ecosystem. Leverage AI frameworks ...