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 domain
• Bachelor’s degree in computer science or equivalent
• 4 years' experience researching and developing ML models for big data analysis
• 3 years' experience and deep understanding of text processing techniques and best practices classification NER text ranking
• 2 years' experience of training and productionalization of deep learning models
• 3 years’ experience of software development in Python
• Excellent knowledge of the data science problems including large scale data and data pipeline management
• Excellent presentation skills communication skills verbal and written
• Expert in using data analytical and modelling tools
• Excellent knowledge in using visualization tools
• Strong interpersonal skills and a combination of analytical skills intellectual curiosity and accountability
• Technical skills
• Python, Pandas, NumPy, SciPy, scikit-learn
• Textual data processing libraries NLTK GenSim
• Experience of deep learning in NLP LSTM BERT etc
• Proficiency with any deep learning framework Tensorflow Keras is preferred

Mandatory Skills : Python-NLTK