Content Writer

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

🚨 Priority Requirement – Salesforce Solution Architect

📍 Location: Bengaluru | Hyderabad | Mumbai | Pune | Mohali | Delhi

🕒 Shift: Noon | 🏢 Work from Office

✨ Key Focus: Highly skilled candidates with excellent communication skills

🔑 Role: Salesforce Solution Architect (Classic ➝ Lightning Migration)

Responsibilities:

• 🚀 Lead end-to-end Classic → Lightning migration
• 🗂️ Redesign data model (optimize custom → standard objects)
• ⚡ Configure Lightning features (Dynamic Forms, Flows, Omni-Channel, Pages)
• 🛠️ Recommend & implement AppExchange solutions
• 🤝 Collaborate with dev, admin & QA for releases
• 🔒 Ensure security, profiles & permissions compliance
• 🎯 Act as trusted advisor for Salesforce roadmap

Qualifications:

• 🏆 7+ yrs Salesforce exp. | 3+ yrs Lightning implementations
• ☁️ Expertise: Service Cloud, Marketing Cloud, Case Mgmt, Digital Engagement
• 🔄 Proven Classic → Lightning migration exp.
• ⚙️ Strong low-code/no-code (Flows, Dynamic Actions)
• 🎓 Salesforce Certified Architect (preferred)
• 💬 Excellent communication & stakeholder management

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.

e are seeking a resilient and technically competent employee with a strong work ethic for a position involving automotive component design, manufacturing, and functionality. In this role, the employee will be responsible for tasks such as interacting with EV OEMs to integrate drivetrains, braking systems, and suspension systems in the field of EV 2-wheelers. Additionally, the position may require frequent travel to client locations across the country for vehicle integration projects.

Experience : 2 - 3 years of experience in Automotive Field

Eligibility: BE/BTech/Diploma in Automobile/Mechanical stream

Package : 5-7 LPA and travelling and stay allowances.

Mode: Work from Office

Qualification:

• Sound understanding of Electric Vehicles (EVs) and their components 2 & 3 Wheelers .

• Sound knowledge of the strength of materials and measurement systems.

• Proficiency in CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing) and Analysis software.

• Strong analytical and problem-solving skills.

• Excellent communication and teamwork abilities.

• Self-motivated and eager to learn.

Key Responsibilities:

1. Project Management: Business development with clients, managing new projects, lead project planning, scheduling, and coordination. Monitor project progress, identify potential issues, and contribute to solutions to ensure timely project completion.

2. CAD and 3D Design: Collaborate with our engineering team to create 2D and 3D CAD models for various EV components, ensuring accuracy and precision. Utilize analysis software to assess the structural integrity and performance of EV components, providing valuable insights and recommendations.

3. Manufacturing Follow-Up: Work closely with manufacturing teams to monitor the production of EV components. Ensure that manufacturing processes adhere to design specifications and quality standards. Address any manufacturing issues promptly to maintain production efficiency.

Join us for an exciting opportunity in the field of Electric Vehicle Engineering. Gain hands-on experience with cutting-edge technology and contribute to the future of sustainable transportation.

If you meet the qualifications and have the necessary tools, we invite you to apply for this internship opportunity and be part of our dynamic team.

Client: MNC (WFO)

Role: DOT NET DEVELOPER

Exp: 4 years to 6 years

CTC : UPTO 30 lpa.

NOTE:Serving notice period (30days/immediate joiner.

Candidates from Bangalore location only apply.

• Hands-on working knowledge and experience is required in:

• Extensive experience working on C#, .net and .net core frameworks
• Relational Databases (SQL Server, Oracle, PostgreSQL, etc.)
• NoSQL Databases (Mongo, Cloud Spanner, etc.)
• Agile Methodologies (Scrum, TDD, BDD, etc.)
• Experience working with distributed teams across regions and time zones
• Strong organizational skills
• Display detailed, critical, quality-oriented, skeptical thinking about the product

• Experience with several of the following tools/technologies is desirable:

• GIT, Jira, Jenkins, SharePoint, Visual Studio Code.
• Microservices Architecture, Domain Driver Design, Test Driven Development is a bonus
• Design Patterns and implementing the Design Patterns
• Development of Complex Application and System Architectures
• Data Structures and Algorithms using Typescript, C# and .NET
• Experience working in Google Cloud will be a big bonus as all our systems are in the Cloud
• Knowledge of REST and gRPC API’s is a bonus

• Knowledge of the following technologies is a plus:

• Continuous Integration and Continuous Delivery Tools like GitHub, Git, etc.
• Containerization Technologies (Docker)

• Design and development of IT infrastructure of Jobaaj Group which includes multiple sites,

ensuring the best user experience.

• Help to design new functionality and features in our existing products like job portal or learning management system.
• Willing to complete the development of new products.
• Having experience of PHP frameworks(Laravel and codeigniter) will preferred
• Having Experience of JS framwork (React, Node, Angular, Vue) strongly preferred
• Deep experience with AJAX and Javascript required
• Strong familiarity with OOPS
• Experience integrating third party APIs, familiarity with both REST and SOAP APIs is required!
• Ability to work independently and manage time effectively
• Outcome driven and able to deliver both speed and quality output.
• Take ownership and see it through from idea to execution.
• Problem solvers
• Hustlers: Relentlessly pushing boundaries to deliver.

Solutions Engineer is a strategic and high-exposure role that will drive the use of the company, being a trusted consultant to our customers by guiding them during the product's implementation and internally evangelizing on the diverse use cases of company implementation. You will drive the onboarding, product solutions, end-to-end implementation of the product, to deliver a seamless user experience.   

The job will require a bit of coding, client interactions, and working with different teams to build the solution & deliver it in a short period of time. 

This role has 3 layers to it - 

Solutioning 

• Configure all features of the company application, groups, and security settings in the company and other EAS systems.
• Leverage your vast knowledge and expertise across various Applications and Systems to define Blueprint for company Implementation in newer areas/applications.
• Monitor system performance, data integrity, and user activity to make recommendations on continuous improvements for the company platform.
• Build and motivate the team to build reusable solutions that can be easily adopted and deployed by customers.

Technical Enablement 

• Strategically Configure, Test, Document, and educate company team members on system design to ensure long-term success.
• Pilot processes with the aim to directly influence the overall Product development and improve the way our customers use the company
• Drive existing and new product feature adoption across Customers.
• Serve as the escalation point of contact for critical issues, for customer concerns relating to technical issues, and coordinate with Professional Services, Engineering, and Product teams.
• Enable the CSMs, Support & Implementation teams from a technical standpoint, to help them meet their SLA requirements (Bugs, Troubleshooting)
• Ensure Application Analysis and technical reviews are happening at the right time, within SLA.

Technical Account Management

• As a part of the Customer Success team, you will work with our Customer Success Managers and customers as Technical Owner to strategize on business objectives and implement company solutions to achieve them.
• During execution consult/ advise/ participate on calls with client's IT stakeholders (Heads, Leads, or senior technology folks), traveling to client locations as needed.
• Work cross-functionally in collaboration with different departments, including Product, Engineering, Professional Services, Support, and Marketing to address issues, questions, and requests.
• Build a relationship with the key customers, by engaging with the key stakeholders and technical leadership, on calls and in person.

What are we looking for?

• Has preferably worked in Product based or Consulting companies for International customers
• Comes with a work experience of 6+ years 
• Should be strong with Javascript, HTML, and CSS 
• Demonstrates the ability to collaborate with internal and external stakeholders while dealing with complex situations
• Should be flexible to work in the EU (1 PM to 10 PM IST) or US (5 PM to 2 AM) time zones.