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Data Science Engineer - Machine/Deep Learning @ Carbynetech

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 Data Science Engineer - Machine/Deep Learning

Job Description

- Experience in research and development. Conference papers at reputed AI/ML platforms (ICML, NIPS, AAAI) will be a big plus,

- Experience in Time series modeling (classical methods like ARIMA, STL Forecast). Understanding and implementing active research in Time series forecasting (Bayesian Forecasting, Hierarchical Forecasting),

- Hands-on experience in implementing Deep learning models with textual data/ time series data (CNN, LSTM- s) will be a great plus,

- Expertise in SCALA (or) functional programming paradigm/ Python / R,

- Experience in big data technologies like Spark, Hive, Hadoop,

- Experience in understanding business needs and translating to a data-science problem,

- Knowledge of the Industry 4.0 process - inventory optimization, smart factory, times optimization, quality control, and industrial automation,Python

- Libraries : tensorflow, Keras, Numpy, sklearn, google-cloud-vision, pandas, imutils, ezdxf, imgaug, lxml, opencv-contrib-python-headless, scikit-image, matplotlib

Job Responsibilities :

- Review deployments, source codes, configurations, algorithms, models, repositories for completeness

- Identify missing libraries/codes, dependencies, code documentation

- Update technical documentation, code comments, etc

- Integrate the code into DevOps

- Testing - DevOps Pipeline & Deployment, Prepare simulation script for stress test, Test for horizontal & vertical scalability, Test for integration with Google OCR, AWS Textract, Active Directory, User Management, Test for performance, User Journeys

Job Classification

Industry: Accounting / Auditing
Functional Area: Accounting / Auditing
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Carbynetech
Location(s): Hyderabad

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Carbynetech

Carbynetech is a fast growing Digital Transformation and services company experienced in Big Data and Real - time Analytics. Our expertise is in industrial IOT, Machine Learning, Digital Supply Chain, SAP, Financial Dashboards, Enterprise Costing, profitability and Mobile Apps.

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