Senior Sales Manager

What you'll work on

* Performance validation of large SaaS platforms

* Load, stress, endurance and spike testing

* Performance testing using K6

* Testing cloud-based systems on AWS

* Identifying bottlenecks and recommending improvements

Skills we’re looking for

* Strong experience in performance / non-functional testing

* Must have Hands-on with AWS and large-scale system testing

* Experience testing applications deployed on AWS

* Understanding of distributed systems and performance metrics

The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.

Responsibilities

Develop quality mobile and web applications

Design highly scalable, testable code

Discover and fix programming bugs

Qualifications

Bachelor's degree or equivalent experience in Computer Science or related field

Development experience with programming languages

Hands on knowledge of dart would be great

Hands on knowledge of flutter would be great

Experience with the BLOC design pattern would be a big plus

Working knowledge of API integration

Experience with Flutter 2.0 for building both web and mobile applications would be a big plus

You can contact me - nine three one six one two zero one three two

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.

Python Automation Engineer -

JD : 

• Engage with development teams to improve the quality of the application.
• Provide in-depth technical mentoring across the test automation team.
• Provide highly innovative solutions to automatically qualify the application.
• Routinely exercise independent judgment in test automation methods, techniques and criteria for achieving objectives.

Experience/Exposure:

• Mid-level programming skills in Python
• Experience with UI driven test automation framework such as selenium, Playwright
• Experience with CI/CD tool
• Ability to troubleshoot complex software / hardware configuration problems
• Strong analytical & problem solving, documentation, and communication skills
• Passion for product quality and eagerness to learn new technologies.
• Ability to function effectively in a fast-paced environment and manage continuously changing business needs. Excellent time management skills require

What your day job looks like at GroupM:

• Develop strong relationships with counterparts in GroupM regional teams (Europe, U.S., Asia)
• Support the training and growth of your team
• Enforce retail/ecomm. best practices with a focus on platform expertise, consistency, and quality of work delivery
• Be accountable for consistent work delivery to GroupM regional teams by ensuring a high quality of output
• Serve as point of escalation for your team and take ownership of resolving any issue
• Provide career development and coaching for your team
• Line manage 2-5 direct reports
• Provide timely and actionable feedback to the team to aid in their development, improvement, and progress. Provide awareness and recognition for jobs well done
• Present strong and effective communication across all levels

What you’ll bring:

• You are proficient in English
• You have 5+ year experience of planning and managing retail Search campaigns
• You have a high-level knowledge of retail Search platforms and third-party tools (Google Merchant Centre (Shopping Campaigns), Helium10, AMS, Kroger, Walmart, Pacvue, Instacart)
• You have expertise of handling online portal sellers on multi-channel, multi-platform model
• You have a strong hold on feed creation, feed management, Listing of products on all platforms, maintaining hygiene across all portals
• You possess strong analytical skills and a natural affinity for numbers to optimize for results
• You can examine raw data, draw conclusions and develop actionable recommendations as needed
• You have experience maintaining quality standards at scale
• You have experience providing service to local teams from a centralized location
• You have a passion for everything digital, with an active interest and understanding of online advertising industry trends
• You have excellent communication skills, both verbal and written
• You are proficient in Microsoft Excel and Google Sheets

Responsibilities include: 

• Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
• Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
• Build data ingestion and data transformation infrastructure
• Automate infrastructure that the data science team uses
• Perform statistical analysis and tune the results so that the organization can make better-informed decisions
• Set up and manage AI development and product infrastructure
• Be a good team player, as coordinating with others is a must