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Business Analyst
AI driven Series A startup
Business Analyst
AI driven Series A startup's logo

Business Analyst

at AI driven Series A startup

Agency job
via Qrata
4 - 6 yrs
₹13L - ₹18L / yr
Bengaluru (Bangalore)
Skills
Data cleansing
Data management
Must have

  • Minimum 4 yrs. of experience in Requirement Elicitation, Data Management and Data cleansing experience.
  • Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools
  • Ability to communicate clearly and effectively with both technology/development
  • Must be proficient in MS office (Word, Excel, Visio, and PowerPoint)
  • Ability to create and present executive level dashboards and status reports to Senior Leadership and cross-functional stakeholders

Responsibilities

  • Understand customers’ business needs and devise appropriate solutions using Sainapse.
  • Document the requirements along with DFD and Swimlane diagrams.
  • In depth analysis of the Past Data and perform Data Labeling.
  • Finding out the Outliers in the data and extreme cases.
  • Prepare the data for training of the Machine Learning model.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About TensorIoT


  • AWS Advanced Consulting Partner (for ML and GenAI solutions) 
  • Pioneers in IoT and Generative AI products. 
  • Committed to diversity and inclusion in our teams.  


TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

 

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

 

TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.


Job Description 

At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 


Minimum Requirements: 

  • Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.  
  • Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
  • Hands-on experience in MLOps (model deployment, maintenance)
  • Hands-on experience with Docker.
  • Clear concepts of the following:
  • - Supervised Learning, Unsupervised Learning, Reinforcement Learning
  • - Statistical Modelling, Deep Learning
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  • Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
  • Scientific & Analytical mindset, proactive learning, adaptability to changes. 
  • Strong interpersonal and language skills in English, to communicate within the team and with the clients.

 

Preferred Qualifications: 

  • PhD in the domain of Data Science / Machine Learning 
  • M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
  • Some experience in creating cloud-native technologies, and microservices design. 
  • Published scientific papers in the relevant domain of work. 


CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

  • Focus: 
  • More focus on technical skills relevant to the job description. 
  • Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
  • Less or no focus on the design aspect of the document. 
  • Regarding the projects you completed in your previous companies, 
  • Mention the problem statement very briefly. 
  • Your role and responsibilities in that project. 
  • Technologies & tools used in the project. 
  • Always good to mention (if relevant): 
  • Scientific papers published, Master Thesis, Bachelor Thesis. 
  • Github link, relevant blog articles. 
  • Link to LinkedIn profile. 
  • Mention skills that are relevant to the job description and you could demonstrate during the interview / tasks in the selection process.  


We appreciate your interest in the company and look forward to your application.


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The company provided meals, medical insurance, accidental cover and other perks.
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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