Business Development 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.

Responsibilities:

• Collaborate with R&D teams and incorporate blockchain into the development and design of solutions that employ cross-asset frameworks and concepts
• Leadership abilities in order to provide the team with the correct direction to ensure that the correct solution is implemented with tremendous success.
• Build performance indicators to assess the performance of the Blockchain.
• Preparation of a risk and failure analysis and risk prevention plan.
• Train and advise technical employees on Blockchain tools and frameworks, Blockchain principles, and so forth.

Required Skills:

• Worked on new technologies and develop performance standards for appraising any new solutions.
• Extensive knowledge of blockchain architectural concepts and the development of storage solutions.
• He shall have a solid understanding of Blockchain foundations, consensus algorithms, and smart contracts 
• Excellent knowledge of blockchain frameworks, for example, Hyperledger Fabric, R3 Corda, and Ethereum
• Good command over the several consensus algorithms used for the Bitcoin Blockchain, Ethereum, Byzantine fault-tolerant algorithms
• Strong understanding of cryptography, in order to provide greater security and immutability to the system

Role: QA LEAD

Experience: 8 – 9 years

Responsibilities:

• Manual and Automation testing,
• ETL Testing, Basic SQL queries, API testing using Postman, Selenium-Java/Python, Develop Automation Framework experience from scratch
• At least 2 -3 years of Automation testing experience on Selenium or Cypress hands on experience in any Low-code Test Automation tool
• Manufacturing domain knowledge, Product testing, Agile/Scrum, Azure/JIRA, Katalon Studio (or any record and playback testing tool)
• GitHub,hands-on, Docker hands on experience
• Lead QA team and work as an individual contributor
• Reporting to QA Manager/Release Manager
• Team Management, Provide Trainings to team, Functional KT
• Test Plan, Test Scenarios, Test Case draft, Review
• Send Weekly QA Status report to stakeholders
• Send QA summary report on every release
• Prepare UAT Release notes
• UAT testing, Bug Triage, Regression testing
• Good in Test Effort Estimation
• Self-Driven
• Excellent communication and critical thinking skills.
• Expert in Agile Project Methodology using Azure DevOps board for bug management applied to product/project development.

About the role:

1. Around 8-9 years of experience in QA testing that includes around 2 years as a QA Lead and extensively involved in Test Planning Creation, developing & executing test cases, reviewing and monitoring progress, planning & managing dependencies, risks and resources, schedules, estimates, test reports in Telecom domains.
2. Experience with functional and automated testing on web application
3. Good understanding of Software Development Life Cycle (SDLC) and all stages of QA and Defect Life Cycles
4. Experience with Agile software development (Scrum)
5. API testing
6. Experience in both manual and automation testing with Selenium (Java/Python)
7. Strong experience with executing stored procedures for ETL and SQL queries to perform the Database testing.
8. Experience working on Reports data validation.
9. Experience in developing test plans, test cases, defect logging.
10. Actively involved in GUI, Functional, Integration, System, Regression, E2E testing, Post Validation Test, User acceptance, and Database testing
11. Familiarity of Quality Assurance standards, processes methodologies and strategies
12. Strong in analysing business requirements and specifications and development of test plans, test scripts, test cases and executing them
13. Experience in leading a testing team, assigning, and tracking tasks provided to team members
14. Self - motivated, team-oriented individual with strong problem-solving abilities
15. Good to have – Experience in testing AI based web application
16. Work with Release Manager to make sure Release process is followed in all the phases of SDLC and defined checkpoints, entry and exit criteria are met

Responsibilities and Duties:

1. Meet leads for assessment and solution offering. (Leads and appointments will be provided by company)

2. Prepare quotation as per client requirements

3. Handle and resolve feedback, complaints or conflicts

4.Team Handling, Highly self-motivated

5.Possess strong work ethics and keep information confidential.

6. Two wheeler compulsory

7. DL compulsory

8 . If from paint background than it will add bonus

Qualifications and Skills

Any Graduate ,have completed degree in civil B.E .

Ready to travel

Benefits

1. High growth environment

2. Travelling Allowance

3. Provident Fund

4. Health Insurance

Job Types: Full-time, Regular / Permanent

Salary: ₹15,000.00 - ₹30,000.00 per month

Benefits:

• Cell phone reimbursement
• Health insurance
• Life insurance
• Paid sick time
• Provident Fund

What you need to have: