| Machine Learning Engineer - GA, TX, FL, NJ - Onsite (Locals Only) - (H1B Only_ at Remote, Remote, USA |
| Email: [email protected] |
| From: PAVITHRA, XFORIA [email protected] Reply to: [email protected] Roles & Responsibilities: Deep Analysis: Establish analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques and mathematical analyses. Develop comprehensive understanding of audience, brand and asset data structures. Mine large data sets to identify opportunities for driving Engagement and Performance Predictive Modelling: Develop and execute new and/or highly complex algorithms and statistical predictive models. Design, build and improve machine learning models. Work end to end From data collection, feature generation and selection, algorithm development, Forecasting, visualization and communicating of model results. Determine analytical approaches and modelling techniques to evaluate potential future outcome. Drive experimentation to test impact of model-based optimization. Consolidate data across multiple sources and databases to make it easier to locate and access. Visualization of Complex Data sets: Development of prototype solutions, Mathematical models, algorithms, and robust analytics leading to actionable Insights communicated clearly and visually. Partnership: Partner closely with stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around Data modeling, data visualization, experimentation and data architecture. Collaborate with teams to understand business partner and client needs, share and syndicate output of analytical models, and provide support during implementation, where needed. Requirements: Bachelor's degree (in any field) is mandatory. Minimum of 5 years of experience. Strong expertise with Python and libraries such as scikit-learn, SciPy. Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, GitHub Experience in Advanced Data Science, proficiency in applying ML, NLP algorithms such as regression, classification, neural networks is required. Technical knowledge of Telecom, T-SQL, PL-SQL, Python/R/SAS/Scala, frameworks such as Tensorflow, Keras and GIT, AWS, GCP and Azure. Keywords: machine learning rlang information technology procedural language Machine Learning Engineer - GA, TX, FL, NJ - Onsite (Locals Only) - (H1B Only_ [email protected] |
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| Fri Jul 26 01:52:00 UTC 2024 |