Account Executive

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
• - Interpretable Machine Learning  
• 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.

Key Responsibilities

• Flow Development & Automation
• Develop, maintain, and enhance CAD automation scripts and flows for physical design (place-and-route, timing closure, physical verification, etc.).
• Integrate and validate EDA tools for synthesis, floorplanning, clock tree synthesis, routing, and sign-off.
• EDA Tool Support
• Work closely with design teams to debug and resolve CAD/EDA tool issues.
• Collaborate with EDA vendors for tool evaluations, feature requests, and bug fixes.
• Physical Verification & Sign-Off
• Build and maintain flows for DRC, LVS, ERC, IR drop, EM, and timing sign-off.
• Ensure physical design flows meet foundry requirements and tapeout schedules.
• Methodology Development
• Develop best practices and guidelines for efficient design closure.
• Evaluate new EDA technologies and propose improvements to existing workflows.

We are looking for a high-energy, results-driven Account Executive to drive B2B sales in global markets. You will manage the sales pipeline, nurture leads, and close deals while working closely with SDRs and senior sales leadership.

Key Responsibilities:

• Lead Generation & Prospecting – Identify and engage with potential clients
• Pipeline & CRM Management – Track sales progress using tools like Salesforce/HubSpot
• Lead Qualification & Outbound Sales – Convert leads into long-term clients
• Collaborate with Sales Team – Work closely with SDRs and Account Managers
• Track & Optimize Sales Campaigns – Ensure consistent revenue growth
• Demo Bookings & Client Engagement – Conduct sales demos and follow up with clients

What We’re Looking For:

• 3-5 years of experience in B2B sales, SaaS, Inside Sales
• Strong expertise in CRM tools (Salesforce/HubSpot) and pipeline management
• Exposure to global/international markets
• Excellent communication & negotiation skills
• Strong organizational & data-driven approach to sales

Job Type: Full-time

Schedule: Morning shift

Ability to commute/relocate: Gachibowli, Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

Kindly do not apply if you have less than 4 Yrs of Experience in Python

Position(6 Months Contract in Gurugram, India) :

Sr. Frontend Engineer

Experience:

4+ years of relevant exp

Location:

Gurugram, India

(Note: FREE accommodation can be given in Gurgaon, India for the 6 months & 'work from home' is not allowed)

About Company:

The company for which you will be working is an online insurance provider that operates a B2C platform as well as a B2B2C platform. They are working to revolutionize the way insurance is bought in India by not only offering an online platform but also providing every customer a touchpoint with its partners. The company has been a platform for Motor, Health, Travel, & Life Insurance.

Key Competencies:

• A strong technical solutioning sense.
• Excellent experience in writing code using the following technologies: Angular JS
• Understand end-user requirements, formulate use cases and come up with effective solutions.
• Strong problem-solving, data structures, and algorithm design skills.
• Good understanding of REST APIs and web technologies in general.
• Ability to build a feature from scratch & drive it to completion.
• A willingness to learn and choose new technologies with a strong justification for the choices made.

Roles/Responsibilities:

• Be involved in all aspects of development: playing a critical role in the design, planning, development, testing, and deployment.
• Help develop best practices for future development.
• Thinks and implements in the right way instead of cutting corners.
•  
• Integrate user-facing elements into applications, test & debug programs
• Own the delivery of an entire piece of a system or application.
• Use technical knowledge and creative thinking to provide the most innovative solutions.
• Optimizing the performance of the components and keeping up to date with the latest industry trends
• Doing effective peer reviews where your peers learn from you every time.
• Be a great team player

If interested, please share your CV with kuldeep[dot]pandey[@]benchkart[dot]com