TensorIoT Software Services Private Limited, India

The TensorIoT Solutions Architect team partners with our customers and AWS to design and build some of the world's most modern cloud architectures and solutions. TensorIoT Solutions Architects collaborate with each other and their respective Sales counterparts to address customer challenges, oftentimes working together to formulate a solution for a given challenge.

A TensorIoT Solutions Architect assists the Customer with bridging the gap between business goals and technology solutions. As the customer’s trusted technical advocate, Solutions Architects not only helps organizations small and large understand best practices around advanced machine learning and cloud-based solutions, but also provides insight into areas such as migrations, modernizing existing infrastructure or applications, and building new and innovative solutions using cutting edge services.

As a Solutions Architect, you will have the unique opportunity to assist customers in shaping the future of their business. In order to accomplish this, you will be in constant communication with TensorIoT Delivery practice managers and industry and area-of-depth experts to help shape and execute the strategy to realize the customer’s overarching vision.

The TensorIoT Solutions Architect team is committed to ensuring harmony of both work and life. We do this by allowing for autonomy in your day-to-day activities, focusing more on the solutions and outcomes driven by customer obsession to steer your work day.

We’re looking for someone who has:

●      2+ years of design, implementation, or consulting experience in AWS application or infrastructure

●      4+ years within specific technology domain areas (Gen AI, ML/AI, IoT)

●      Technical degree in Computer Science or related field or equivalent experience

●      4+ years developing technology solutions in the cloud

●      At least 1 AWS Professional or Specialty certification

●      2+ Years of customer-facing experience in a pre-sales engineering role

●      Excellent written and verbal communication skills to articulate findings and recommendations to stakeholders.

●      The ability to create and present detailed reports and presentations.

●      Strong interpersonal skills to work effectively with different teams and stakeholders.

●      Time management and organizational skills to handle multiple projects simultaneously.

●      Adaptability and willingness to learn new tools and techniques as needed.

What we offer:

●      Flexible work hours and the ability to work from home

About TensorIoT

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.

SA Role Summary:

The Solutions Architect is responsible for designing and leading the implementation of technology solutions that align with the organization's business goals and technology standards. This role involves working closely with both technical teams and business stakeholders to translate business requirements into robust, scalable, and secure technology solutions.

Key Responsibilities:

Solution Design and Architecture:

●      Develop and maintain a comprehensive understanding of the business processes and technology landscape.

●      Design holistic technology solutions that address business challenges and opportunities, integrating with existing systems and technologies where necessary.

●      Define and document architectural designs, including system components, functionalities, interfaces, and data flows.

●      Taking into account all pillars of the Well-Architected Framework (WAF) on AWS - including Scalability, Resiliency

●      Identifying reusable components in a project and working with the Backend team to generalize those components.

●      Amazon Web Services (AWS) Certification (Preferred)

Technical Leadership and Guidance:

●      Provide technical leadership and guidance to development teams throughout the implementation phase, ensuring adherence to architectural principles and best practices.

●      Evaluate and recommend technologies and tools for the effective development and management of solutions.

●      Ensure the implemented solution is in compliance with the designed architecture. Deviation from the architecture must be evaluated and agreed upon.

Stakeholder Engagement and Communication:

●      Collaborate with business stakeholders to understand their requirements and translate them into technical specifications.

●      Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

●      Act as a liaison between technical teams and business units, facilitating understanding and alignment on project objectives and deliverables.

Project and Risk Management:

●      Participate in project planning activities, including resource allocation, timeline estimation, and risk assessment.

●      Identify potential technical and project risks and develop mitigation strategies.

Quality Assurance and Best Practices:

●      Ensure solutions are designed and implemented to high-quality standards, including performance, security, and scalability considerations.

●      Advocate for and ensure adherence to software development best practices, including code reviews, continuous integration, and automated testing.

Continuous Learning and Improvement:

●      Stay abreast of emerging technologies and industry trends, evaluating their applicability to organizational needs.

●      Promote a culture of continuous improvement, encouraging innovation and efficiency improvements in technology practices.

About TensorIoT

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.

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.

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.

• Must have experience with Amazon Web Services (AWS)
• Experience with Python/Node.JS/Typescript
• At least 2+ years as back-end software developer
• A deep understanding of the benefits of the Microservice and serverless paradigms
• Prepared technical documentation, and understand why it’s important
• Understanding of database principals: SQL and NoSQL
• Collaboration and communication skills (you’ll be working with clients and internal teams)
• An understanding of programming fundamentals (OOP, data structures, algorithms)
• Familiarity and comfort with REST API, Postman
• The ability to work independently or within a team structure.
• A “lead by example” attitude, and motivation to deliver work you’re proud of

• Must have experience with Amazon Web Services (AWS)
• Experience with Python/Node.JS/Typescript
• At least 2+ years as back-end software developer
• A deep understanding of the benefits of the Microservice and serverless paradigms
• Prepared technical documentation, and understand why it’s important
• Understanding of database principals: SQL and NoSQL
• Collaboration and communication skills (you’ll be working with clients and internal teams)
• An understanding of programming fundamentals (OOP, data structures, algorithms)
• Familiarity and comfort with REST API, Postman
• The ability to work independently or within a team structure.
• A “lead by example” attitude, and motivation to deliver work you’re proud of

As a Mid Level Front-End Developer, you will:

Create well-designed, documented, and tested front end solutions using modern JavaScript frameworks, such as React and Redux, CSS-in-JS, Styled Components, etc.

Collaborate with clients, project managers, UX designers, and other developers to gain a thorough understanding of project requirements within agreed-upon scope and architecture designs

Translate wireframes into fully functional user interfaces and proactively address edge case scenarios

Collaborate with back-end developers to design REST APIs and request/response schemas

Perform code reviews with constructive feedback

Promote clean code, best practices, and consistent design patterns across the team

Write infrastructure as code and automated deployment scripts for customer delivery

Provide development estimates from granular tasks to comprehensive projects/applications

Lead and present technical discussions to clients, including knowledge transfers

Take on additional responsibilities over time and become a key contributor for scaling team size