... services and customer experience. Committed to occasionally working extra hours to meet critical deliverable dates. Fluent in English and French – Written and oral communications Fluency in other languages is an asset. Comfortable with web-based applications and multi-screen data systems. Proficient in Microsoft Office Suites: ...
... a Study Manager Upstream Facilities, reporting directly to HOD Genesis to join our Genesis team based in Mumbai/ Noida. Genesis is a market-leading consulting company focused on providing high-value advisory services for the energy industry. As trusted advisors committed to a sustainable future, we have extensive experience ...
... people grow. For more information, visit WPP.com. Why we're hiring: The Data Engineer is responsible for the design, development, and implementation of scalable data solutions across the Azure Databricks platform supporting AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, ...
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 ...
... model development, validation, and deployment Communicate complex analytical results clearly to non-technical audiences Advanced proficiency in Python and SQL. Comprehensive knowledge of statistical and machine learning algorithms. Strong command of MS Office and data visualization tools such as Power BI. Practical experience ...
... analytics, AI/ML, and data-driven decision-making. Reporting to the Senior Director of Data Platforms , this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data solutions. ~ The Lead Data Engineer ...
... https://jobeax.com/link/S4RuHJ1G3doUiTso ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir https://jobeax.com/link/RDUDqJz5k99Gqrkb in the insurance domain is a https://jobeax.com/link/WcdeZfP9AzyV5ADN ...
... alignment.- Drive adoption of AI coding tools to multiply team https://jobeax.com/link/SUy80954HPKhhMw7 You will Bring : - 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 ...
... mentor a team of data scientists AI/ML engineers. Explore emerging AI trends (multi-modal LLMs 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 ...
... 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 ...
... Embeddings, Recommendation engines etc Collaborate with software engineering teams to design experiments, model implementations and new feature creation Clearly communicate technical details, strategies and outcomes to a business audience Requirements Requirements: 5+ years of hands-on experience in data science using techniques ...
... using APIs, JDBC, or other integration frameworks. Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data. Design standardized data ingestion processes with automated error handling, retries, and alerting. Data Quality, Monitoring, and Governance: Develop data quality ...
... define project scopes, and translate them into data science problems.- Develop, test, and productionize models using Python, SQL, and PySpark on large-scale datasets.- Apply deep learning and advanced statistical modeling techniques for use cases such as classification, regression, recommendation, and personalization.- ...
... 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 ...