Inside Sales Executive

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 assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.

The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life. 

TensorIoT is proud to be an equal opportunity employer. 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 the TensorIoT India team, we look forward to bringing on board mid-level and 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. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews. 

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. 

Preferred Requirements: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Hands-on experience in MLOps (model deployment, maintenance). 
• Some experience working with Generative AI (LLM). 
• Some experience in creating cloud-native technologies, and microservices design. 
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis. 
• Hands-on experience with Docker.

Minimum Requirements: 

• Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience. 
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning
• - Linear Algebra 
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients. 

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.

Assist in the formulation of strategies to build a lasting digital connection with consumers
    Plan and monitor the ongoing company presence on social media (Twitter, Facebook etc.)
    Launch optimized online adverts through Google Adwords, Facebook etc. to increase company and brand awareness
    Be actively involved in SEO efforts (keyword, image optimization etc.)
    Prepare online newsletters and promotional emails and organize their distribution through various channels
    Provide creative ideas for content marketing and update website
    Collaborate with designers to improve user experience
    Measure performance of digital marketing efforts using a variety of Web analytics tools (Google Analytics,WebTrends etc.)
    Acquire insight in online marketing trends and keep strategies up-to-date
    Maintain partnerships with media agencies and vendor.

• Conducting interviews and sorting through applicants to fill open positions.
• Assessing applicants' knowledge, skills, and experience to best suit open positions.
• Completing paperwork for new hires.
• Providing recruitment reports to team managers.

Requirement::

• Be an individual contributor to the team, work on sprint tasks related to Front End Development

• Develop features as per requirements and design, own the feature developments till production

• Interact with backend team on finalizing the APIs and work on integrating them

• Never miss to write unit tests and keep the coverage healthy

• Take the lead to maintain re-factor and if necessary, throw away legacy frontend code

• Review other's code and get your code reviewed as well

• Plan the code and approach first then start writing the code

• Taking pride in the work you have accomplished and showing it to the customer

• Stepping out of your comfort zone at times

• Avoiding the desire to take shortcuts at times instead maintain the consistency in how we approach solutions to ensure successful outcomes.

• Avoid the temptation to think that a difficult situation will be resolved simply by the passage of time and without the hard work of addressing root causes

Website - https://praxinfo.com/">https://praxinfo.com/