Content Editor

Role: Tele Sales Executive-International / Tele Sales Executive-Domestic

Department- Sales

Experience: 1 To 3 years

CTC: up to 4 LPA

Responsibilities:

Lead Generation:

• Conduct research to identify potential customers and industries for our products/services.

• Utilize various channels, including social media, email campaigns, and cold calling, to generate leads. Prospect Qualification:

• Engage with leads to understand their needs and assess their potential as qualified prospects.

• Gather additional information for effective lead qualification.

Sales Outreach:

• Conduct outbound calls, emails, and other communication methods to initiate conversations with potential customers.

• Articulate the value proposition of our products/services to prospects and create interest in further discussions.

• Create and send proposals as per discussion with potential clients

• Coordinate with Accounts for Invoice creation and send to potential clients

• Ensure payment is received with given period for the services

We are seeking a dynamic and results-driven Business Development Specialist with experience in the digital marketing industry to help drive growth and expand our client base. The ideal candidate will have a deep understanding of digital marketing services, including SEO, PPC, content marketing, and social media, combined with a proven ability to generate leads, close deals, and build strong client relationships.

Key Responsibilities:

• Identify and pursue new business opportunities within the digital marketing industry.
• Develop and execute strategies to expand the company’s market presence and drive revenue growth.
• Build and maintain long-term relationships with clients and stakeholders.
• Conduct market research to identify emerging trends, client needs, and potential partnerships.
• Collaborate with internal teams (SEO, PPC, content, and social media) to ensure seamless integration of marketing solutions for clients.
• Prepare and deliver compelling sales presentations, proposals, and pitches tailored to client needs.
• Manage and track the sales pipeline, from lead generation to contract negotiation and closing.
• Meet or exceed sales and revenue targets by converting prospects into clients.
• Attend industry events, networking opportunities, and conferences to build brand presence and client relationships.

Qualifications:

• Proven experience in business development, sales, or account management within the digital marketing industry.
• Strong understanding of digital marketing services, including SEO, PPC, content marketing, social media, and web development.
• Excellent communication, negotiation, and presentation skills.
• Ability to work independently and manage multiple client relationships simultaneously.
• Strong analytical skills and the ability to understand client needs and translate them into effective marketing solutions.
• Proficiency with CRM software and digital marketing tools (e.g., HubSpot, Google Analytics, SEMrush) is a plus.
• Bachelor's degree in marketing, business, or a related field is preferred.

Why Join Us:

• Opportunity to work in a fast-paced, growing digital marketing agency.
• Collaborative team environment with opportunities for career growth and professional development.
• Competitive salary and performance-based incentives.

About the role

• Calling is an integral part of Bizup’s interaction with its users. Candidates are expected to create conversations with app users and sellers on the platform. 
• Calls users who have opened and used our app to understand their needs and solve them using Bizup. Candidate needs to be his ‘friend’ who will help the user buy in wholesale better using Bizup.
• Onboard sellers in target wholesale markets and maintain relationship with them so they create interesting content on the platform.

What we are looking for

• Min. 1+ yr of customer calling experience for a sales process. Preference to candidates who have worked in fashion / apparel category or worked with e-commerce companies such as Udaan, Indiamart, TradeIndia etc. Or worked with fintech selling products such as loan, insurance etc. on call
• Candidates who can have conversations and engage the other person on call will be preferred over candidates who can just reading out a script given and fill data in an excel.

About the company

Bizup is an early stage startup, driven by the vision to empower the 60 Mn small businesses (SMEs) in India with technology. We are building first of its kind short video app for B2B (business to business) transactions – think of it like Tiktok for businesses. Aim is to build India’s largest network of business users, with the plan to onboard 2 Mn+ users in next 12 months, largely from Tier 2+ cities. Founders are IIT/IIM/ISB alumni, with leadership experience at McKinsey, Paytm, Tata. If you are someone looking to join in the 0 to 1 journey of building a rocketship, in a huge opportunity area, then reach out to us!

• Previous working experience as a MERN/MEAN  Stack Developer for 1 year (Minimum).
• In depth knowledge of NodeJS, ExpressJS or Restify
• Experience implementing applications using Angular 2+ versions or React
• Experience creating front end applications using HTML5, Angular/React, LESS/SASS
• Hands on experience with JavaScript
• Development on both client and server-side
• Experience on Angular 2+  and React Js will be an plus point
• Experience on both MEAN/MERN Technologies will be an advantage.

Job Summary

Engineering Manager is responsible for leading various Android platforms at Ola Electric Mobility

For this position,

We prefer someone who has displayed a track record of:

• Solid experience in JAVA 
• Should have experience in Reactive programming, Asynchronous programming

and Unit Testing.

• Has an ability to quickly learn and contribute in multiple codebase.
• Overcomes roadblocks and requires minimal oversight.
• Takes initiatives to fix issues/tech debts before assigned to him/her.
• Able to deep dive into codebase and advise QA of possible regression impact.
• Communicates tech decisions through design docs and tech talks.
• Has delivered projects with end-to-end accountability.
• Keeps track of industry trends and introduces right tech/tools for a given job.
• Excellent understanding of software engineering practices, Design Patterns,

Data Structures, Algorithms.

• 5+ years of experience in a product-driven organization.

Key Result Areas (Accountability & Responsibility of the role)

• Build highly scalable Android Platforms. Ability to work in a fast-paced setup, deliver results, set up high standards for the team, and the ability to attract world-class talent.

  The job requires a gamut of roles and responsibilities -

  • Build a world-class team of engineers
  • Ensure their KPI’s and OKR are set and evaluated at regular intervals
  • Responsible for delivering high-quality software products, on time, and within budget.
  • Collaborate & work with Product Leads and Business Leaders to develop a long-term product plan,

  products, and manage the release planning cycles for all products.

  • Responsible for managing the staffing requirements and skillsets for the Customer Interaction Team,

  assuring that sub-teams are staffed with sufficient skilled resources and meeting Ability to work in a fast-

  paced setup,

  • Deliver results, set up high standards for the team, and the ability to attract world-class talent. product

  deliverables.

Job Title: Chief Engineer: Deep Learning Compiler Expert

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

Necessary Skills / Attributes:

• 6 to 15 years of experience in the field of compiler design and graph mapping.
• 2+ years hands-on experience with MLIR and/or LLVM.
• Experience with multiple toolchains, compilers, and Instruction Set Architectures.
• Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
• Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
• Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
• Familiarity with parallelization techniques for ML acceleration.
• Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
• Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
• Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
• Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
• Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
• Experience with Hardware and Software Co-design.

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

Work Profile:

• Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
• Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
• Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
• Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
• Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
• Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
• Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
• Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
• Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
• Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
• Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler

Job description

Roles and Responsibilities

• Plan, Participate, monitor, follow-up sales & marketing activities as per sales strategy for the allocated customers / location and end customers/ user
• Support and monitor the performance of the team in order to achieve their monthly & annual sales target.
• Experience to manage a team of at least 10-15 members.
• Conduct meetings regularly to ensure open communication and devise an action plan to address issues/concerns raised by the team.
• Undertaking regular one-to-one meetings, team meetings at various levels, training and counselling /coaching sessions for all direct reports.
• Responsible for Lead Generation and completion of team target.
• Demonstrate accountability and ethical behaviour at all times.
• Who has a Knowledge on Cloud Computing will be an Add on Advantage.

Required Candidate Profile

• Extremely organized, highly motivated & target oriented.
• Preferably from BPO/KPO background
• Excellent verbal/written communication and presentation skills.
• Accomplishes organization goals by accepting ownership.
• Willingness to work in night shift.
• Ready to join immediately.

Intro

Our data and risk team is the core pillar of our business that harnesses alternative data sources to guide the decisions we make at Rely. The team designs, architects, as well as develop and maintain a scalable data platform the powers our machine learning models. Be part of a team that will help millions of consumers across Asia, to be effortlessly in control of their spending and make better decisions.

What will you do
The data engineer is focused on making data correct and accessible, and building scalable systems to access/process it. Another major responsibility is helping AI/ML Engineers write better code.

• Optimize and automate ingestion processes for a variety of data sources such as: click stream, transactional and many other sources.

• Create and maintain optimal data pipeline architecture and ETL processes
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Develop data pipeline and infrastructure to support real-time decisions
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data' technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  
  

What will you need
• 2+ hands-on experience building and implementation of large scale production pipeline and Data Warehouse
• Experience dealing with large scale

• Proficiency in writing and debugging complex SQLs
• Experience working with AWS big data tools
  • Ability to lead the project and implement best data practises and technology

Data Pipelining

• Strong command in building & optimizing data pipelines, architectures and data sets
• Strong command on relational SQL & noSQL databases including Postgres
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

Big Data: Strong experience in big data tools & applications

• Tools: Hadoop, Spark, HDFS etc
• AWS cloud services: EC2, EMR, RDS, Redshift
• Stream-processing systems: Storm, Spark-Streaming, Flink etc.
• Message queuing: RabbitMQ, Spark etc
  
  

Software Development & Debugging

• Strong experience in object-oriented programming/object function scripting languages: Python, Java, C++, Scala, etc
• Strong hold on data structures & algorithms

What would be a bonus

• Prior experience working in a fast-growth Startup
• Prior experience in the payments, fraud, lending, advertising companies dealing with large scale data