
In today’s marketing-dependent consumer world, businesses demand innovative brand solutions and our client is engaged in providing brand solutions across businesses. They import renowned global brands & distribute the same. They have a dedicated eCommerce practice to build digital retail footprints for their brands in India. They focus on major categories under FMCG such as F&B, Personal care, etc. and also Home & Fabric Care.
Founded in 2003, our client has over 250 Pan-India Distributors and more than 300 SKUs. They deal with 25+ brands and some of the brands are Mogu Mogu, SAN REMO, Simpkins, Moccona, OMINO BIANCO, etc.
As a Key Account Manager - eCommerce, you will be responsible for leading and executing the company’s overall eCommerce strategy for website and primary channel partners – Amazon, Big Basket, Flipkart, Nykaa, Supr/BB Daily, Milkbasket as well as other new partners [Smytten, e-pharmacies, etc].
What you will do:
- Charting out plans for listing and relisting of brands and select SKUs on different channel partners
- Driving ecommerce operations – site availability, POs and ensuring 95%+ fill rates
- Managing all in-app visual merchandising, liaisoning with different brand leaders across US, Europe, Australia and South East Asia for accessing content related to respective partner brands and keeping the brand folder up to date with thematic, product hero and lifestyle content
- Driving in-app brand visibility, targeted marketing and promotional offers on different platforms
- Establishing processes for monitoring, measurement and optimization of performance marketing metrics to results in desired target sales achievement
Desired Candidate Profile
What you need to have:- Adept at business planning, JBPs and channel specific planning with 1+ years’ experience in Google Ads and Google Analytics
- Proficiency in using MS Excel and MS PowerPoint
- Prior experience of ecommerce vertical with Flipkart, Amazon or Big Basket will be an added advantage

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About Us:
We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its
clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL,
Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a
company.
Job Role: Social Media Account Manager
Experience Level: 2+ years in Agency set-up
Location: Bangalore, On-site
Job Overview:
We are seeking an experienced and strategic-minded Social Media Account Manager for our client-based social media team. This role requires a dynamic individual who can execute effective social media campaigns giving great results that meet with client’s objectives, foster a cohesive team environment, and cultivate strong client relationships. The ideal candidate should possess a deep understanding of social media dynamics, a proven track record in team leadership, and exceptional communication skills.
Job Description:
● Create campaign strategies and monitor the execution to achieve the brand objectives.
● Manage social handles of the brand, like Instagram, Facebook, LinkedIn, X etc.
● Develop, implement and manage a brand's social media strategy on a monthly basis.
● In-depth knowledge of social media marketing, market trends, integration of online with offline marketing and reporting.
● Measure the success of every social media campaign, as per required metrics.
● Work with copywriters and designers to ensure content is well-suited and appealing to the defined target group for respective brands.
● Communicate with industry professionals and 3rd party vendors if and when required.
● Provide constructive feedback to the team(copy & design) to achieve desired results.
Requirements:
● Bachelor's degree in Marketing, Communications, or a related field (Master's degree preferred).
● 2+ years of proven experience in social media management within a client-based agency or related environment.
● Demonstrated success in devising and executing impactful social media strategies for a variety of clients.
● Excellent written and verbal communication skills, capable of conveying ideas clearly to both internal teams and clients.
● Profound understanding of social media platforms, algorithms, content formats, and best practices.
● Proven track record of generating exceptional results via integrated marketing strategies (online + offline).
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.
Key Responsibilities:
- Identify, pursue, and secure new business opportunities through networking, cold calling, outbound campaigns, and direct meetings.
- Conduct market research to understand client needs, industry trends, and competitive positioning.
- Engage potential clients through calls, emails, presentations, and meetings to pitch company offerings effectively.
- Understand client requirements and provide tailored solutions that align with their needs.
- Prepare and deliver compelling sales proposals, presentations, and follow-up communications.
- Manage the entire sales process from lead generation, qualification, proposal, negotiation, to closing the deal.
- Maintain a detailed and updated database of leads, prospects, and sales activities using CRM tools.
- Achieve and exceed monthly, quarterly, and annual sales targets.
- Collaborate closely with internal teams (marketing, operations, and service delivery) to ensure a smooth client onboarding and satisfaction process.
- Provide regular sales forecasts, pipeline updates, and performance reports to management.
Requirements:
1. Bachelor's degree in Business, Marketing, or a related field.
2. 1+ years of experience in business development or end-to-end sales roles.
3. Proven track record of meeting or exceeding sales targets.
4. Excellent communication, negotiation, and interpersonal skills.
5. Self-driven, proactive, and capable of working independently.
6. Familiarity with CRM systems and sales performance metrics.
We are seeking a Staff Salesforce Engineer. The Staff Salesforce Engineer will have accountability to deliver Sales Cloud functionality within and across the Salesforce Platform, integrations with external systems, and will have exposure to Financial Service, Service, and Marketing Cloud functionality within the platform. The Staff Engineer is responsible for leading the design, build (configuration and customization), implementation, documentation, and maintenance of functionality that meets the needs identified by Product Leadership.
Responsibilities:
- Identify and translate conceptual needs into executable design and delivery. Partner with the PO to determine technical feasibility, sequencing, story refinement and epic/release planning to guide the development team.
- Define system solutions that ensure alignment with industry best practices, technical strategies, and priorities.
- Proficient in data modeling, designing custom objects, fields, and relationships to meet end-user needs.
- Designing and implementing custom user-guided experience workflows.
- Expertise in integrating Salesforce with external systems using APIs and middleware.
- Understanding various integration patterns, including point-to-point integrations, middleware-based integrations, and event-driven architectures.
Leadership:
- Provide technical leadership to a product delivery team of 2-4 Salesforce Engineers, and collaborate with architects and other product leaders.
- Provide coaching/mentorship to delivery team Engineers on technical focused topics.
- Be the model for oneself and the delivery team on keeping skill sets and expertise relevant with the latest Salesforce releases, features, and industry best practices.
- Active participation in the technology community through forums, events, and/or open-source or personal project contributions.
Application Implementation & Oversight:
- Provide oversight of delivery team code review processes to ensure the security, scalability, and maintainability of Salesforce solutions.
- Deep understanding of patterns and value of unit testing, test classes, and test data creation to ensure code coverage and quality.
- Thorough documentation of design decisions, code, and configurations or both development and end-user understanding.
Requirements:
- Bachelor's degree in Computer Science or other technical field or equivalent work experience
- 10+ years of experience in engineering environments, taking abstract concepts and ideas and formulating a detailed software engineering plan to deliver.
- Experience architecting salesforce software solutions with requirements such as performance SLOs, high availability, reliability, security, etc.
- Understand data and system integration patterns and technologies
- Proficiency in managing large scale implementations, efforts.
- Ability to articulate and transfer complex ideas to a wide audience through both verbal and written communication.
- Strong conceptual, critical thinking, technical and problem-solving skills with good attention to details.
- Must be articulate and have the ability to meet with high level management to present and/or deliver technical documentation.
Preferred:
- 7 - 10+ years of experience in the Salesforce engineering environment, taking abstract concepts and ideas and formulating a detailed software engineering plan to deliver
- Extensive knowledge of Sales and Financial Service Clouds.
- Highly proficient in developing Apex Classes, Apex triggers, Batch Apex, JavaScript, Lightning Web Components (LWC), Visual Force (VF Pages), OmniStudio
- Preferred 1-3 years recent work experience in several of the following integration technologies: Java, REST/ SOAP API, Spring Boot, Mongo DB, Confluent Kafka, Change Data Capture, Platform Events, OpenShift, Docker, TC Server, Messaging Queues (RabbitMQ, IBM MQ).
- Experience with CI/CD DevOps including using tools such as Visual Studio Code, Salesforce CLI, Git, Github, Github actions, Bitbucket, and Jira.
- Excellent verbal and written communication skills, particularly around technical documentation.
- Ability and desire to learn new technologies and development tools.
- A creative mindset to apply innovative approaches to software design.
- Exposure to working in a product operating model, leveraging an Agile scrum execution framework.
- Experience working directly with product owners, peer engineers, dev team, and business partners.
- Salesforce Admin and Developer certifications preferred.
Benefits:
- Work Location: Remote
- 5 days working
You can apply directly through the link : https://zrec.in/zOwmj?source=CareerSite
Explore our Career Page for more such jobs : careers.infraveo.com
Data Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
Oversee the sales process to attract new clients.
Work with senior team members to identify and manage risks.
Maintain fruitful relationships with clients and address their needs effectively.
Prepare and deliver pitches to potential investors.
Foster a collaborative environment within the organization.
Transfer call to the supervisor after initial explanation.
SKILLS:
Excellent spoken English.
Both Graduate/Undergraduate may apply.
Ability to develop good relationships with current and potential clients.
Excellent communication skills.
Knowledge of productivity tools and software.
Ready to work in Nightshift.
Supporting today’s data driven business world, our client acts as a full-stack data intelligence platform which leverages granular and deep data from various sources, thus helping the decision-makers at the executive level. Their solutions include supply chain optimization, building footprints, track construction hotspots, real estate, and lots more.
Their work embeds geospatial analytics, location intelligence and predictive modelling in the foundations of economic modelling and evaluation theory to build data intelligence layers for their clients which include governments, multilateral institutions, and private organizations.
Headquartered in New Delhi, our client works as a team of economists, data scientists, geo-spatial analysts, etc. Their decision-support system includes Big-Data, predictive modeling, forecasting, socio economic dataset and many more.
As a Senior Manager– Data Intelligence, you will be responsible for contributing to all stages of projects– conceptualizing, preparing work plans, overseeing analytical work, driving teams to meet targets and ensuring quality standards.
What you will do:
- Thoroughly understanding the data processing pipeline and troubleshooting/problem-solving the technical team
- Acting as SPOC for client communications across the portfolio of projects undertaken by the organization
- Contributing to different aspects of organizational growth– team building, process building, strategy and business development
Desired Candidate Profile
What you need to have:- Post-graduate degree in relevant subjects such as Economics/ Engineering/ Quantitative Social Sciences/ Management etc
- At least 5 years of relevant work experience
- Vast experience in managing multiple client projects
- Strong data/quantitative analysis skills are a must
- Prior experience working in data analytics teams
- Credible experience of data platforms & languages in the past
Founded by two MDI alumnus, it is a student centric and personalised learning platform that delivers enjoyable learning content as per the state boards. This ed-tech provides a solution which is easy to use, lets students enjoy learning, makes life easy for a teacher and delivers learning in the language that students are most comfortable. The organisation has worked in 14 states across India and awarded Google India under "Impacting Change through Digital".
- Writing blogs, write-ups and various contents for marketing and communications
- Ideating and writing content/ script for success stories in the form of writing, visual content and audio-visual outputs
- Posting on various channels and managing social media handles
- Designing using tools
Desired Candidate Profile
What you need to have:- Focus and Discipline
- Analytical, problem solving and calculative attitude
- Humility to learn, share & keep improving
- Excellent and proactive communication in all formats











