
Mid Level Machine Learning Engineer / Data Scientist
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.

About TensorIoT Software Services Private Limited, India
About
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.
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Simply put, we connect devices and make them smarter. We’ve helped over 150 clients expand the possible through intelligent innovation, and we're just getting started.
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About the Role
We are looking for a Business Development Executive to help us grow our software development business by identifying and acquiring new clients and projects.
We build custom software solutions across different domains, including gaming, e-commerce, SaaS, education, fintech, and other business applications. We are not restricted to a specific technology or industry and work based on the client's requirements.
What You'll Do
- Identify potential businesses and clients who require software development services.
- Generate leads through LinkedIn, cold outreach, email, freelance platforms, referrals, networking, and other channels.
- Initiate conversations with prospects and understand their business and project requirements.
- Qualify opportunities and coordinate with our technical team for project discussions.
- Follow up with prospects and help convert qualified opportunities into projects.
- Build and maintain long-term relationships with clients.
- Explore new channels and strategies for generating software development opportunities.
What We're Looking For
- Experience in business development, IT sales, software services, or client acquisition.
- Experience selling software development or digital services is strongly preferred.
- Strong communication, negotiation, and relationship-building skills.
- Ability to independently research and identify potential clients.
- Self-driven and comfortable working independently.
- A results-oriented approach with a focus on generating actual business, not just outreach volume.
Engagement
We are flexible and open to full-time, part-time, contractual, or commission-based arrangements depending on experience and the proposed working model.
Compensation can be discussed based on experience and engagement structure.
Important
This role is primarily focused on bringing in new software development clients and projects. We are looking for someone who can take ownership of the business development process, from prospecting and initial outreach through to qualified project opportunities.
Experience with an existing network of potential clients or a proven track record of acquiring software/IT projects is a strong advantage.
Role Overview
At The Sleep Company, innovation doesn’t stop at comfort — it extends to how customers discover, buy, and experience our products across every touchpoint.
As Director – Product, you will lead the complete consumer journey — from discovery to post-delivery — building frictionless, insight-led experiences that drive growth, efficiency, and customer delight.
You’ll head a multidisciplinary team spanning Product Management, UI/UX, and Analytics, acting as the strategic bridge between business, technology, and operations to deliver end-to-end impact across the ecosystem.
Key Responsibilities
1. Pre-Purchase (Discovery, Engagement & Consideration)
- Lead the digital product roadmap for website and app — including PLP, PDP, configurators, and lead journeys.
- Drive experimentation frameworks such as A/B testing, personalization, and funnel optimization.
- Build analytics models to identify high-intent user segments and optimize engagement and conversion depth.
2. Purchase (Conversion & Checkout)
- Own the end-to-end conversion experience across cart, checkout, and payment flows.
- Collaborate with Pricing, Payments, and Inventory teams to maximize order success and reduce drop-offs.
- Integrate omnichannel purchase journeys — online, in-store, and quick commerce — ensuring consistency and reliability.
- Govern pricing logic, delivery promise visibility, and PDP accuracy to strengthen customer trust.
3. Post-Purchase (Delivery, CRM & Logistics Experience)
- Delivery Experience:
- Build and optimize post-purchase flows — including order tracking, shipment visibility, and proactive notifications.
- Integrate with 3PLs, warehouse systems, and customer-facing delivery tracking tools for promise-to-delivery accuracy.
- Define and monitor SLA adherence, OTIF performance, and exception management systems.
- CRM & Service Systems:
- Partner with Leadsquared/CRM teams to enhance service workflows, escalation journeys, and ticket analytics.
- Enable a unified customer view across purchase, delivery, and service touchpoints.
- Leverage analytics to improve NPS, first-time resolution, and service turnaround.
- Returns, Replacement & Warranty:
- Streamline digital flows for returns, repairs, and warranty claims through robust reverse logistics.
- Build insight dashboards for product quality, defect tracking, and RCA feedback loops with manufacturing and operations.
- Experience Analytics:
- Develop real-time visibility on post-purchase KPIs such as delivery timeliness, customer satisfaction, and repeat intent.
- Create a closed feedback loop between Product, CX, and SCM teams to continuously enhance customer experience.
Analytics & Insights Leadership
- Establish a central analytics charter connecting marketing, product, and supply chain data.
- Build predictive models for demand, delivery lead-time, and defect reduction.
- Develop self-serve dashboards and KPI frameworks for leadership visibility.
- Drive a culture of experimentation, data literacy, and evidence-based decision-making across teams.
Team & Collaboration
- Lead a cross-functional team of Product Managers, UX Designers, and Data Analysts.
- Partner closely with Growth, CX, Tech, and SCM leaders to align priorities and deliver measurable outcomes.
- Run agile sprints with clear business objectives, defined deliverables, and strong governance.
Ideal Candidate
- 10–14 years of experience in Product, Analytics, or CX leadership roles within e-commerce, logistics, or consumer tech.
- Proven experience in building and scaling delivery-tech or post-purchase systems (order tracking, CRM, 3PL integration).
- Strong proficiency in analytics and visualization tools — GA4, Mixpanel, SQL, Tableau, Looker, etc.
- Strategic thinker with an operational mindset and a strong bias for execution.
- Exceptional stakeholder management, communication, and leadership skills.
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(NOte: please share resume on below email if you want to apply)
Mail updated resume with current salary-
Emil: jobs[at]glansolutions[dot]com
satish: 88O 27 49 743
Job Requirements
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- Experience working on Node.js with Typescript and Express.
- Experience working with SQL and NoSQL databases. Experience with PostgreSQL and DynamoDB would be preferred.
Nice to have:
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- Design, build and maintain software applications.
- Write well-designed, testable, efficient code by using best software development practices.
Description of Skills/abilities:
We are looking for a Python Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application; therefore, a basic understanding of front-end technologies is necessary as well.
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- Writing reusable, testable, and efficient code.
- Design and implementation of low-latency, high-availability, and performant applications.
- Integration of user-facing elements developed by front-end developers with server side logic.
- Implementation of security and data protection.
- Integration of data storage solutions may include databases, key-value stores, blob stores, etc. Experience administering innovation with methodologies such as design thinking.
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- Familiarity with event-driven programming in Python, using of Pycham.
- Understanding of the differences between multiple deliveries platforms, such as mobile vs desktop, and optimizing output to match the specific platform.
- Able to create database schemas that represent and support business processes.
- Strong unit test and debugging skills.
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- Familiarity with some ORM (Object Relational Mapper) libraries.
- Able to integrate multiple data sources and databases into one system.
- Understanding of the threading limitations of Python, and multi-process architecture.
- Good understanding of server-side templating languages such as Jinja 2, Mako, etc depending on your technology stack.
- Basic understanding of front-end technologies, such as JavaScript, Typescript, react, react hooks, HTML5, and CSS3.
- Proficient understanding of code versioning tools such as Git, Mercurial or SVN.
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- 4+Years Full stack Python Developer - exposure to web frameworks like Django, Flask and Falcon.
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- Database level programming using both SQL (MySQL, PostgreSQL, Oracle) and No SQL (Mongo DB/Casandra) and designing the database level stored procedures and persistence logic.
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- Collaborate with internal teams to produce software design and architecture
- Client handling experience
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- Improve existing software
- Ability to work as a team player also as an individual contributor.
- Understanding of Scrum, Agile and Agile processes.
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- Experience in JavaScript, jQuery or related frameworks.
- Knowledge of Code Repository systems including GIT, Github & SVN
- Should have strong practical knowledge of API Management Services (APIM)
- Good to have: Angular JS, React JS or any other frameworks.
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- Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
- Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
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- Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
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- Communicate with stakeholders regarding various aspects of solution.
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