Data Science & ML Expert, Mumbai
We are hiring for our reputed client in Mumbai, Charni Road.
About Client Our client was incorporated in 2010. They are an independent company and part of a diversified group, which is diversified in Automobiles, Trading, Infrastructure, etc. Due to ever growing demand for security & ICT products/ solution, their group formed a new entity focusing on providing ICT/ Security solutions.
They are operating as a System Integrator (SI) in ICT, Security & Surveillance domain in India & South Asia. They offer SI services as a single window turnkey solution that integrates products & solutions to meet the need of their customers on outright sale & Build , Operate, Transfer (BOT) basis. They have a strong technology alliances with Global & proven companies
About Requirement :
Data Science & ML Expert
Required Experience, Skills and Qualifications
Data Scientist with more than 12 years of experience with EAI Architecture exp and other skills and relevant experience as per below JD.
Candidate should have architecture experience with high level & low level designing.
Data Science & ML Expert
Should have skills and experience in Data Management and Data Sciences
ETL, Stored data recovery, data transformation, ata Modelling, Data Structuring, Processing, etc
Varied ways and innovation on Data transformation
Big Data Management Video, Audio, Text data
Experience in Intelligent data sampling and frequent recovery from stored data
Video data conversions for AI/ML processing
Audio data conversions
Analog to Digital conversions
Knowledge and experience in managing static and big data (and not just streamed data)
Machine Learning Engine
Machine Learning Systems Architecture
Ability to combine multiple variables and create complex Models for analytics in R and Python
Ability to create a complex model with Machine learning as the basis for choosing the right models
Creating an engine using .net BPM or in Core Python to combine and create complex model, using drag and drop UI
Worked with and has the ability to write different kinds of Machine Learning Algorithms both on unstructured media and other forms of data
Extensive experience in Statistical/Mathematical Optimisation
Work experience with ensemble is desirable
Deep Neural Networks
Speech to Text algorithms
Convolutional Neural Networks for Computer Vision
Building Computer Vision algos using libraries such as OpenCV.
NLP knowledge is an advantage
exposure on Augmented and virtual reality techniques and combining skills for ML Engine creation
Knowledge of VMS, AMS, IoT, Database and others
Working knowledge of Data warehouse and data lakes, API and webservices
Team leading – .NET developers, UI/UX designers, Machine learning experts, SQL developers, DBA, RPA developers and others
Application packaging and distribution
Should have a 12-15 years of experience in the above skills
As a developer, should have implemented and led big data projects as Team Leader and as an Architect, with working knowledge, to develop, execute and implement, trouble shoot, design and lead
Should have ability to give special attention to bot – algorithm build, quality and efficiency
Should have exposure to software quality methodologies
Research & Development
AMS experience not a focus. (AMS intense not preferred )
Languages: R, Python, SQL, .NET
Job Type: Full-time
Salary: 3,000,000.00 /year
Candidates have to address the following questions:
How many years of Data Science experience do you have?
How many years of EAI Architecture experience do you have?
How many years of Machine Learning experience do you have?
How many years of System Integration company experience do you have?
How many years of total work experience do you have?
What is the highest level of education you have completed?
Are you in Mumbai, Maharashtra?
Do you have the following license or certification: B.E / B.Tech / MCA / B.Sc IT?
Interested candidates can send their updated cv with following details to email@example.com (NOTE – Please paste answers to above question on the cv or share in email along with following) :
2. Availability for F2F interview
5. Mobile No.
7. Total Experience
8. Relevant Experience
9. Current CTC
10. Expected CTC