Platform Engineer/Machine Learning Engineer/Software Developer
  • B.E/B.Tech, MCA From 2022 batch with 60% and above throughout academics
  • No Backlogs
  • Stipend during internship: INR 23,000 Per Month
  • CTC Post internship / At FTE conversion: 6.5L fixed + 2L (QCDP) = 8.5 LPA
  • Internship Duration: 4 Months
Work Location: Bangalore/Mumbai

Interview process: (Virtual) 
  • Pre placement talk
  • Hacker Rank test
  • Group discussion
  • Technical round
WFH/WFO: We are working on Hybrid mode

1. Platform Engineer

  • Scaledistributedapplications,makearchitecturaltrade-offsapplyingsynchronousand asynchronous design patterns, write code, and deliver with speediness and quality.
  • Design and develop scripts to build and deploy services using automated tools with focus on developing hooks for operations and monitoring support.
  • Provide guidance to the team to implement services and systems that are highly available, scalable, and self-recoverable on cloud platforms
  • Design and deploy metrics, monitoring, and logging systems to understand the system performance and isolate bottlenecks.
  • Introduce new cloud technologies, tools & processes to keep innovating in commerce area to drive greater business value
  • Strong fundamentals in object-oriented design, data structures, algorithms, complexity analysis distributed computing and operating systems etc.
  • Proficiency in, at least, one modern programming language such as Java, C, C++, C#, or Perl
  • Experience in Scripting language like Bash/shell scripting
  • Understand project-specific requirements, standards, guidelines, and processes
2. Machine Learning Engineer

  • Working with structured and unstructured data to build machine learning models.
  • Work on both traditional machine learning and deep learning methods
  • Work closely with the solution architects to develop solutions which best solve the problem at hand
  • Handle end-to-end pipelines in machine learning space, from building a model to deploying the final model
The Ideal Candidate should have:
  • Hands-on experience with statistical tools and techniques
  • Great analytical skills, with expertise in analytical toolkit such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
  • Ability to think creatively and work well both as part of a team and as an individual contributor
  • Critical eye for the quality of data and strong desire to get it right
3. Software Developer
  • Build reusable code and libraries for future use
  • Optimize application for maximum speed, scalability and security
  • Design scalable and effective database schemas for best performance
  • Develop/design user interfaces for client and server side portals
Skills and Qualifications:
  • Proficient understanding of web markup, including HTML5, CSS3
  • Proficiency in, at least, one programming language such as Java, C, C++, C# or Python
  • Understanding of core programming concepts and OOP concepts
  • In-depth knowledge of Data Structures and its applications
  • Understanding relational and non-relational databases and their uses
Good to have:
  • Proficient understanding of code versioning tools Git
  • Knowledge on any modern Javascript Framework will be an added advantage
  • Knowledge on NodeJS will be an added advantage
  • Knowledge of working on Cloud technologies like Google cloud platform/ AWS
  • Familiarity with tools such as Photoshop is a plus
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About Us
Quantiphi is a category defining Data Science and Machine Learning Sohware and Services Company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design

Disclaimer: This Content is provided by Quantiphi, TeamLease E Hire Private Limited (Formerly Cassius Technologies Private Limited) disclaims all warranties against infringement, In no event will TeamLease E Hire Private Limited (Formerly Cassius Technologies Private Limited) be liable for any loss or damage.