Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Large Language Models (LLMs) ...
... GQL); understanding of trade-offs between RDF triple stores and property graph databases. - Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding. - Strong Python and SQL skills with production-grade development practices; experience with ML libraries ...
... experience working in database engineering, automation, or Python scripting, with a focus on improving database operations through automation. Proficiency in Python: ~ Python for Automation and Integration: Demonstrated expertise in Python, particularly for automating database tasks and managing data integrations across ...
... Hyderabad office (Monday - Friday). Experience with Generative AI and Large Language Models (LLMs). Hands-on experience with SQL/NoSQL databases, data warehouses, and Big Data technologies. Familiarity with cloud platforms (AWS) and containerization (Docker, Kubernetes). Skills: scikit-learn,pytorch,aws,generative ai,python,tensorflow,numpy,panda,docker,llm
... data quality initiatives. Develop, monitor and maintain data processes in AWS environments. Assist in automating data workflows and troubleshooting cloud-based data issues Bachelor's degree in computer science, data science, engineering, mathematics, or statistics - 4-7 Years Expert in SQL and strong experience in Python ...
... https://jobeax.com/link/hs6VQjYW4dlN5SYR Skillset:- Demonstrate proficiency in writing complex SQL queries to extract and transform data from relational databases.- Utilize Python for data manipulation, cleaning, and automating repetitive analytical tasks.- Exhibit advanced expertise in Excel for financial modeling, data validation, and ...
... AI, AI safety, data privacy, and data security best practices. Experience with vector databases, embeddings, prompt engineering, and LLM evaluation frameworks. Data Science Leadership Machine Learning Generative AI & LLMs Natural Language Processing (NLP) MLOps & Model Deployment AI Strategy & Innovation Data-Driven Decision ...
... quality at a global scale? Join us in Bangalore to lead a team of expert medical reviewers, advance Risk-Based Quality Management (RBQM), and ensure that the data behind life-changing therapies is robust, reliable and patient-focused. Your new role As Senior Manager of CMU-BLR Medical Data Review, you will plan and oversee ...
Role Summary We are hiring a hands-on Senior Data Scientist / AI Engineer to design and productionize AI capabilities for automated understanding and validation of complex 2D engineering drawings. The role combines Computer Vision, OCR/Document AI, multimodal LLMs, RAG/Graph-RAG, Knowledge Graphs and deterministic engineering ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
... innovation. 8+ years of relevant professional experience, supported by a bachelor's degree or equivalent practical experience. - Strong experience working with large datasets using Python and SQL; experience with Go is an advantage. - Solid knowledge of statistics, probability, data analysis, machine learning, and clustering techniques. ...
... Learning and GenAI algorithms.- Experience with AI cloud platforms - AWS / Azure / GCP.- PySpark and Scala exposure is a plus.- Familiarity with Deep Learning, Big Data environments such as Hadoop/Hive is an advantage.- https://jobeax.com/link/5Im6Nfh21WlEEm2q MSc, MBA or https://jobeax.com/link/s1WvHFV9ITSwCkyS in Statistics, ...
... reporting, customer insights, fraud detection, and product development.- Provide detailed documentation, knowledge transfer, and training to internal teams to build data https://jobeax.com/link/lBZX49AU6oyjeBLP Stack :- Snowflake, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Microsoft Fabric, dbt, Python, SQL, ...
... financial domains (Payments, FX, Accounts) - Experience in data product-oriented delivery approaches - AI-assisted data product development experience Data & AI - Data Engineering - Data Quality & Validation Big Data - Big Data - Pyspark Data & AI - MLOPS - Python Database - Database Programming - SQL Data & AI - Data Engineering ...
... JavaScript or Python etc. • One of the following RDBMS environments: Sybase ASE/IQ, Oracle or DB2 OPTIONAL SKILLS OR QUALIFICATION ( NICE TO HAVE ) • Experience in the Financial Service Industry • Experience in Cluster Computing and Big Data solutions: Spark, Hadoop, HDSF, XRS using public cloud • Degree in Computer Science
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, ...
... Scientists in 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 ...
... : - 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 ...
... experience in the analytics domain Working knowledge of Python/R Proficient in advanced SQL / Excel / Google Sheets and analysis. Experience in handling large datasets and deriving insights out of it Data visualization and data storytelling skills Knowledge of Big Data processing tools like Qubole/Databricks/Spark Ability ...