Job Description :
Experience : 7 -11 Years
Notice period : 0 -30 Days
Location : Bangalore, Gurgaon.
You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering state-of-the-art solutions for ML pipelining deployment and integration with the backend product Your role is needed to ensure efficient architecture and low-level design of deep learning-based solutions and high-quality deliverables with focus on innovation scientific research experimentation and optimal design
A successful candidate will have strong analytical skills be passionate towards resolving complex problems building scalable and stable solutions and open for technical challenges The ideal candidate will bring new knowledge and experience to the team.
As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving
- Development and implementation of ML models for product brand extraction based on product name description and other attributes
- Development and implementation of ML based product matching solutions
- Development of text-based product classification tools
- Analyze big amount of data from online retailers using statistical techniques to identify patterns
- Build ML statistical and analytical models forecasting models
- Create MLDL solution and infrastructure
- Responsible for statistical analysis and model research to develop an advanced analytical approach to generate the required insights
- Design and implement efficient fault tolerant Machine Learning flows for processing high-velocity heterogeneous data including optimization of Machine Learning workflows for building automated decision systems that provide future predictions
- Provide statistical analysis of large and complex datasets and ensure accuracy in analysis
- Develop innovative and effective approaches to solve analytics problems
Desired Profile :
8 years of relevant experience in the domainBachelor’s degree in computer science or equivalent4 years' experience researching and developing ML models for big data analysis3 years' experience and deep understanding of text processing techniques and best practices classification NER text ranking2 years' experience of training and productionalization of deep learning models3 years’ experience of software development in PythonExcellent knowledge of the data science problems including large scale data and data pipeline managementExcellent presentation skills communication skills verbal and writtenExpert in using data analytical and modelling toolsExcellent knowledge in using visualization toolsStrong interpersonal skills and a combination of analytical skills intellectual curiosity and accountabilityTechnical skillsPython, Pandas, NumPy, SciPy, scikit-learnTextual data processing libraries NLTK GenSimExperience of deep learning in NLP LSTM BERT etcProficiency with any deep learning framework Tensorflow Keras is preferredMandatory Skills : Python-NLTK