Image Processing Engineer

Role : Sr Data Scientist / Tech Lead – Data Science

Number of positions : 8

Responsibilities

• Lead a team of data scientists, machine learning engineers and big data specialists
• Be the main point of contact for the customers
• Lead data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Test performance of data-driven products
• Visualize data and create reports
• Experiment with new models and techniques
• Align data projects with organizational goals

Requirements (please read carefully)

• Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
• Msc-Statistics/ Phd.Statistics
• Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
• Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
• Proven experience as a Data Scientist or similar role, for about 7-8 years
• Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
• Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
• Knowledge of data management and visualization techniques --- more from a Data Science perspective.
• Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
• Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.

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Job Title:

Telephony Engineer

Job Description:

- Support the operations team with debugging issues related to the telephony platform

- Identify issues with calls using monitoring and analysis tools such as VoIPMOnitor

- Write scripts to automate tasks, monitor the services and functionalities

- Contribute to the improvement of the system by providing ideas

- Help with capacity planning

- Perform the scheduled maintenance activities

- Modify the existing code to accommodate new features

Experience Range:

3- 6 years

Educational Qualifications:

Any graduation,

Job Responsibilities:

  • Knowledge of open source technologies, VoIP, SIP, WebRTC etc.

  • Shell scripting.

  • Experience in Asterisk and Kamailio or OpenSIPS.

  • C/C++ or JS programming with Linux.

  • 5-8 years experience.

  • Good communication skills.

  • Willingness to work in the night, whenever required, for handling support related issues.

Skills Required:

ViOP, OpenSIPS, SIP, Shell Scripting, Asterisk, kamailio, C++, Linux, Development,

• Perform analysis, design and implementation of assigned projects using sound engineering principles and adhering to business standards, practices, processes, and product / program requirements
• Engage with global teams to effectively translate customer requirements to software requirements and identify potential solutions that are optimized to operate with in constraints of the product
• Troubleshoot variety of complex software problems
• Provide timely status updates and proactive communications on issues to the stakeholders.
• Able to interface with internal and external stake holders regarding software issues.
• Contribute as part of teams put together to meet overall organization initiatives/objectives
• As a technical lead,

1. Guide team efforts towards successful deliverables.
2. Provide technical leadership to teammates through coaching and mentorship.
3. Able to effectively manage escalations and operate under crisis
4. Have the ability and willingness to acquire in-depth understanding of domain and existing products (beyond software) and apply that knowledge to develop new products and to deliver enhancements/ fixes for customer requirements.
   
   

• Background in Industrial Automation
• Prior experience in supervisory control systems software
• Bachelor of Engineering degree in Computer Science/Information Science/Electronics/Electrical/Instrumentation with strong back ground in Industrial automation software
• Strong C, C+ programming on variety of Windows platforms using Microsoft technologies
• Sound knowledge of Computer Science fundamentals data structures, algorithms, operating system concepts
• Excellent analytical skills, methodical problem-solving skills and troubleshooting skills
• Prior experience of working in global teams and interfacing with multiple stake holders
• Excellent communication skills (verbal and written) and the ability to interact with extended teams spread across the globe.

What you need to have:

Required Candidate profile

We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

• Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
• Experience with Deep Learning preferred.
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL, Hive, Pig 
• Good applied statistics skills, such as statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality