Software Developer

Job Description

PL11 - Machine Learning Engineer 

Job description:

Responsibilities:
Engineering core machine learning capabilities in our IoT platform by using techniques from supervised and unsupervised machine learning, statistical analysis and predictive modelling to deliver business insights 
Performing exploratory data analysis and collaborating with domain experts to understand the data
Build tools to visualize complex, high-dimensional data and help draw insights out of it
Scale the machine learning infrastructure for speed and performance
Implement and deploy various ML models in various frameworks like Scikit, Tensorflow, LightGBM, PyTorch etc. 
Work on latest and exciting technologies in big data engineering 
Ship high quality code and have end to end ownership of it


Requirements: 
3 years of software development experience with proven hands-on experience in one or more Machine learning technologies
Strong programming skills in MACHINE LEARNING (Python, Spark)
Strong programming skills in WEB DEVELOPMENT R/Shiny, Python/Django
Strong programming skills in RESTFUL API Integration
Interpret data, analyze results using statistical techniques to identify trends or patterns in data
Ability to perform data manipulation, data visualization and modeling with complex data using Python 
Build the workflows required for optimal extraction, transformation and loading of data from a wide variety of data sources (internal and external)
Processing, cleansing and verifying the integrity of data used for analysis 
Work on feature engineering to transform the raw data into actionable data 
Displays understanding of different Algorithms & Machine Learning techniques and their application 
Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems and articulate key findings in a succinct and concise manner
Excellent communication skills

Job ID: 122034

Organization: Internet of Things

Company: Siemens Technology and Services Private Limited

Experience Level: Early Professional

Job Type: Full-time

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