... with engineers to align on solution designs and ensure data science insights translate into robust, production-ready systems. - The Alexa Smart Home Decision Sciences team provides the data and analytical foundation that powers insights across our rapidly growing smart home ecosystem. We work with data from millions of connected ...
... Architect modular systems and drive microservice decomposition Manage SQL & NoSQL data models (PostgreSQL, MongoDB, DynamoDB, ClickHouse) Implement distributed data pipelines using Kafka, RabbitMQ, and SQS Apply best practices in rate limiting, security, performance optimisation, logging, and observability (Grafana, Datadog, ...
... develop, and maintain scalable data pipelines using Python and Apache Spark.- Implement efficient ETL/ELT processes for large-scale structured and unstructured datasets.- Develop and optimize complex SQL queries, data models, and transformations.- Ensure data quality, integrity, and reliability across the https://jobeax.com/link/KGEJVg5sFMkW48k2 ...
... understanding of data modelling and building clean, scalable pipelines. Experience with ETL tools and integrating data from multiple sources. Strong knowledge of data management, data warehousing, and big data technologies. Proficiency in data analytics tools and programming languages such as Python, R & SQL Strong knowledge ...
... the latest advancements in AI/ML, LLMs, and related technologies, and incorporate them into projects. Mentor junior team members and promote best practices in data science and AI development. Python programming for data science and AI development. Expertise in AI/ML algorithms, including supervised, unsupervised, and reinforcement ...
... excellence, and delivering complex enterprise solutions Conduent is seeking a Senior AI Solutions Engineer / Technical Lead with strong cloud, application development, data, analytics, and Generative AI expertise to join our Analytics & Data Science https://jobeax.com/link/0c14UeRcOwA5jiTP role serves as the senior developer for ...
... modeling to develop and evaluate AI solutions using real-world enterprise datasets. What you'll bring - 6 + years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, ...
... product, and analysis capabilities as a Data Platform Engineering team. We work as the core platform team supporting multiple markets in their business-critical Data platform and shared capabilities. Design, develop, test, and deploy production-ready applications and data pipelines using Python, PySpark, and related technologies ...
... experience in Data engineering. Pyspark with GCP and AWS,Snowflake and Data bricks are required skills. Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems. You have hands-on experience of data modeling and modern data engineering tools and platforms. ...
... Collaborate with Smart Manufacturing Strategy Leads to align data science efforts with business goals across Micron sites. Provide mentorship and coaching to data scientists and engineers to nurture their technical skills. Perform exploratory data analysis and feature engineering on structured and unstructured data. Fluency ...
Partner with stakeholders to translate business goals into data science problem statements, success metrics, and experiment plans. Build, evaluate, and deploy machine learning and AI models using Python, ensuring performance, robustness, and scalability. Perform end-to-end data science workflows: data collection, cleaning, ...
... product requirements and come up with data science solutions.- Identify and develop data engineering scripts (example : parsers) necessary to build training datasets.- Build deep learning NLP model(s), customize as needed to meet the requirements.- Write production quality python code for model development and as well ...
... consulting and Engineering service firm,which has a proven track record in flawless execution of projects in over 25 countries. We have developed a niche in Life Sciences sector driving majority of our revenues. Through our unique engagement model and its success, we have experienced extremely tremendous growth in a short duration. ...
Skillset Requirements Experience : 5 to 10 years in data science Programming : Minimum 5 years in Python Machine Learning/NLP : At least 4 years LLM & GenAI : Minimum 1.5 years with large language models and generative AI Database Management : At least 2 years with any database Cloud Deployment : 1+ years deploying ML models/Python ...
... Tableau, JReview, Business Objects, Cognos, MicroStrategy, IBM DataStage, Informatica, Spark or related . ➢ Experience with other languages and concepts: .NET, C#, Python, R, Java, HTML, SSRS, AWS, Azure, Spark, REST APIs, Big Data, ETL, Data Pipelines, Data Modelling, Data Analytics, BI, Data Warehouse, Data Lake or related. ...
... development, tools, and procedures; Provide end-user support including setup, installation, and maintenance for applications. Bachelor's Degree in Computer Science, Data Science, or a related field; Internship experience in Data or Software Engineering; Knowledge of developing dimensional data models and awareness of the ...
... https://jobeax.com/link/RSweVi0ulZBsrYIm we're looking for : - Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.- 4-8 years of experience in working on Life Sciences/Pharma/Healthcare projects.- Extensive GenAI expertise ...
... https://jobeax.com/link/RSweVi0ulZBsrYIm we're looking for : - Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.- 4-8 years of experience in working on Life Sciences/Pharma/Healthcare projects.- Extensive GenAI expertise ...
... management solutions. - Strong knowledge of SQL, Windows Server, APIs, cloud platforms (Azure and AWS), infrastructure, GitHub, and DataDog. - Understanding of data governance, metadata management, data quality, and master data management concepts. - Experience with automation and scripting tools such as Python, PowerShell, ...