... Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive ...
... Shift Timing: US–Canada Shift (Night Shift – aligned to North American time zones) • Working Hours: 10 hours per shift (including breaks as per company policy) • Work Mode: 100% Work from Office • Transportation: Company-provided pick-up and drop facility (for night shifts) Role Summary: Entry-level outbound sales role responsible ...
... governance principles, data quality checks on each data layer. - A successful history of manipulating, processing and extracting value from large disconnected datasets. - Working knowledge of message queuing, stream processing, and highly scalable big data data stores. - Strong project management and organizational skills. ...
... and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality l Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting l Investigate and document potential data quality issues, ...
... using Python, with a strong grasp of libraries such as Scikit-Learn, XGBoost, LightGBM, or PyTorch.- Proven ability to write production-quality code and manage data workflows using SQL and cloud-based environments like AWS or GCP.- Exceptional communication skills, with the ability to distill complex statistical findings ...
Hiring: QA Automation Engineer | WFH We're looking for experienced QA Automation professionals to join our team! Experience: 8–13 Years Work Mode: Work From Home ⚡ Availability: Immediate / Short Notice Preferred Key Skills: - QA / Test Automation - Java & Groovy - Spock Framework - Spring Boot - Automation Framework Development ...
... Technologies, Network, Security etc Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities. Experience handling un-structured data, working in a data lake environment, leveraging data streaming and ...
... Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application ...
... ownership, OR - 2-3 years as Data/Backend Engineer with PM work (PRDs, roadmaps, user research) Technical Stack Depth Deep understanding: ETL/ELT pipelines, data warehousing, data lakes/lakehouses Advanced SQL (query optimization, not just SELECT statements) Hands-on with ONE of: Hive/Spark/Hadoop/HDFS, Snowflake/Databricks/BigQuery, ...
... hands on experience with machine learning frameworks like scikit-learn, tensorflow, keras and deep learning architectures like RNNs and LSTM , BERT Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases. Ability to create data and ML pipelines ...
Communicate with customers via phone, email and chat Data entry in various platforms At least 1 - 3 years' of relevant work experience Excellent phone etiquette and excellent verbal, written, and interpersonal skills
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... shape. Senior Data Scientist We have an opportunity for a Senior Data Scientist to join our Data Science team in Bangalore, reporting to the Senior Director, Data Science. In this pivotal role, you will drive advanced analytics and machine learning solutions that power our security, networking, and cloud data products. ...
... infrastructure for greater scalability, etc. Work with stakeholders, including the Technical Architects, Developers, Product Owners, and Executives, to assist with data-related technical issues and support their data infrastructure needs. Create tools for data management and data analytics that can assist them in building and ...
... first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various ...
... partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Senior Data Analyst Product Data & Analytics Team Senior Data Analyst – Product Data & Analytics Product Data & Analytics team builds internal analytic partnerships, strengthening ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...
... Experience with infrastructure-as-code tools such as AWS CDK, CloudFormation, or Terraform. Familiarity with CI/CD pipelines (GitHub Actions, CodePipeline) for data engineering workflows. Exposure to PII detection/redaction practices or data governance frameworks. Prior experience translating Tableau workbooks or Excel-based ...
... LLMs, LangChain, and Retrieval-Augmented Generation (RAG) frameworks. Key Responsibilities: Design and implement GenAI systems with LangChain , RAG , and agent workflows Translate business goals into production-ready AI applications Work with prompt engineering , embeddings, and vector databases Collaborate with engineering, ...
... external resources andexpertise. The role requires being hands-on and working together with external and internal partners to develop, test and operationalize data science and analytical solutions as well as ensure its adoption by businesses. Work toleveragedata (Transactional / Big Data, External/ Internal Data, Structured/ ...