
Key Responsibilities
● Engage proactively with potential customers through outbound calls. ● Counsel students effectively and convert potential leads into successful sales.
● Respond promptly to assigned leads and demonstrate strong follow-up skills.
● Achieve weekly and monthly performance targets in a metrics-driven environment.
● Understand customer needs and provide suitable course recommendations.
Candidate Profile
● Excellent communication skills.
● Strong proficiency in English + Tamil / Telugu / Kannada / Hindi / Marathi. Knowledge of regional languages is an added advantage.
● Passion for building a successful career in sales.
● Customer-focused with strong persuasion and negotiation abilities. ● Confident, target-oriented, and self-driven.
● Must have a laptop with functional audio/video capabilities.

About Vedantu
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- Develop and maintain custom modules, workflows, and scripts within the LOANIQ platform.
- Build Java-based interfaces and services to integrate LOANIQ with other banking applications (core banking, risk systems, reporting, etc.).
- Analyze business requirements and translate them into technical specifications and design documents.
- Enhance existing LOANIQ functionality to meet evolving regulatory and business requirements.
- Perform code reviews, unit testing, and ensure CI/CD compliance for releases.
- Collaborate with cross-functional teams including BA, QA, Infrastructure, and Support to deliver projects on time.
- Support production environments, investigate issues, and provide long-term solutions.
- Act as a technical SME on LOANIQ-related queries and mentor junior developers when needed.
Role & Responsibilities:
- Deliver training on SEO, PPC (Google AdWords), Social Media Marketing, Email Marketing, Affiliate Marketing, Content Marketing, SEM, ORM, Website design, and Web Analytics.
- Assist students in practical digital marketing tasks.
- Plan and prepare course materials and lesson plans.
- Conduct demo sessions and doubt-solving sessions.
- Continuously improve teaching methodologies for better student satisfaction.
Preferred Candidate Profile:
- Bachelor's degree in Marketing, Business, or related field.
- 1-3 years of hands-on experience in digital marketing, with at least 1 year of experience as a Digital Marketing Trainer.
- Expertise in SEO, PPC, Social Media, Content Marketing, and more.
- Familiarity with tools like Google Analytics, WordPress, SEMrush, MailChimp, etc.
- Certifications (e.g., Google AdWords, HubSpot Content Marketing) are a plus.
Soft Skills:
Strong communication and presentation skills.
- Energetic, passionate, and a natural motivator.
- Problem-solving and analytical abilities.
Job Title: Marketing Associate (Outbound)
Company: All Wave AV
Website: www.allwaveav.com
Location: Hyderabad, India
Company Overview:
All Wave AV is a premier AV Integrator headquartered in Mumbai, India, specializing in executing projects and delivering services for global enterprises across India. With over 300+ installations spanning 22+ years, our team of 90+ professionals provides professionalism and precision in all our installations. We are a full-stack System Integrator, offering design, supply, installation, and maintenance services. As members of the PSNI Global Alliance, we ensure the highest standards in delivering projects and services.
Job Description:
We are seeking a Marketing Associate (Outbound) to join our team. The ideal candidate will have a pleasant voice and the ability to prospect leads and set up appointments and demos. Previous experience in selling technology, software, or hardware solutions would be a bonus. The compensation package will be based on experience and will include a small variable component based on outcomes.
Responsibilities:
Build a quantifiable sales pipeline using the provided database.
Use a pleasant voice to communicate effectively with potential clients.
Demonstrate excellent English speaking and writing skills.
Ensure accurate and concise explanations of our solutions during phone calls and follow up with appropriate emails to decision-makers.
Assist in building a sales team while adhering to the established process.
Conduct occasional Zoom calls as required.
Work primarily from the office.
Qualifications:
Bachelor's degree.
Minimum 2 years of experience in outbound tele-calling, making 30-40 calls per day.
Strong communication skills, both verbal and written.
Ability to remain composed under pressure.
Highly organized and professional in approach.
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.
Responsibilities:
- 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.
- Experience working on Agile Scrum and DevOps aligned delivery teams.
- Interest and ability to learn other coding languages as needed.
- Strong communication skills and great product sense.
- Proficient communication skills verbal and written.
- Understanding of accessibility and security compliance depending on the specific project.
- Knowledge of user authentication and authorization between multiple systems, servers, and environments.
- Understanding of fundamental design principles behind a scalable application.
- 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.
Skills:
- Expert in Python, with knowledge in Python web framework such as Django, Flask depending on technology stack.
- 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.
Skill Set:
- 4+Years Full stack Python Developer - exposure to web frameworks like Django, Flask and Falcon.
- Experience building APIs for a rapidly iterating product and restful APIs and development of services layer using Pythons Flask framework and should be proficient in writing unit test cases using Pytest package.
- 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.
- HTML/CSS/JavaScript and JavaScript framework and knowledge on React JS is a plus.
- Experience in developing Arduino libraries is an added advantage.
- Experience working with two or more from the following: Web Application development, Unix/Linux environments, mobile application development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, and/or security software development
Job Summary
As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base
- Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
- Work with teams of smart collaborators. Be responsible for their appraisals and career development.
- Participate and lead executive presentations with client leadership stakeholders.
- Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
- See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.
Role & Responsibilities
- Serve as expert in Data Science, build framework to develop Production level DS/AI models.
- Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
- Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
- Lead and manage the onsite-offshore relation, at the same time adding value to the client.
- Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
- Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
- Present results, insights, and recommendations to senior management with an emphasis on the business impact.
- Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
- Lead or contribute to org level initiatives to build the Tredence of tomorrow.
Qualification & Experience
- Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
- 6-10+ years of experience in data science, building hands-on ML models
- Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
- Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
- Knowledge of programming languages SQL, Python/ R, Spark.
- Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
- Experience with cloud computing services (AWS, GCP or Azure)
- Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
- Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
- Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
- Knowledge in GPU code optimization, Spark MLlib Optimization.
- Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
- Experience with ML CI/CD pipelines.
CricStox is a Pune startup building a trading solution in the realm of gametech x fintech.
We intend to build a sport-agnostic platform to allow trading in stocks of sportspersons under any sport
through our mobile & web-based applications.
We’re currently hiring a Frontend Engineer who will gather, refine specifications and requirements based
on technical needs and implement the same by using best software development practices.
Responsibilities?
● Mainly, but not limited to maintaining, expanding, and scaling our microservices/ app/ site.
● Integrate data from various back-end services and databases.
● Always be plugged into emerging technologies/industry trends and apply them into operations and
activities.
● Comfortably work and thrive in a fast-paced environment, learn rapidly and master diverse web
technologies and techniques.
● Juggle multiple tasks within the constraints of timelines and budgets with business acumen.
What skills do I need?
● Excellent programming skills and in-depth knowledge of modern HTML5, CSS3 (including
preprocessors like SASS).
● Excellent programming skills in Javascript or Typescript.
● Basic understanding in Nodejs with Nest framework or equivalent.
● Good programming skills in Vue 3.x with Composition API.
● Good understanding of using CSS frameworks like Quasar, Tailwind, etc.
● A solid understanding of how web applications work including security, session management, and
best development practices.
● Adequate knowledge of database systems, OOPs and web application development.
● Good functional understanding of containerising applications using Docker.
● Basic understanding of how cloud infrastructures like AWS, GCP work.
● Basic understanding of setting up Github CI/CD pipeline to automate Docker images building,
pushing to AWS ECR & deploying to the cluster.
● Proficient understanding of code versioning tools, such as Git (or equivalent).
● Proficient understanding of Agile methodology.
● Hands-on experience with network diagnostics, monitoring and network analytics tools.
● Basic knowledge of Search Engine Optimization process.
● Aggressive problem diagnosis and creative problem solving skills.
- Supervise and monitor the work of HK staff. As their manager, he/she will supervise, mentor, train, and coach our office staff and delegate assignments to ensure maximum productivity.
- Oversee general office operation and facilities management
- Implement and maintain procedures/office administrative systems
- Coordinate company events or conferences, which will include
- Handle all correspondences, complaints, and queries about the office and office facilities.
- Manage office logistics: You will be responsible for maintaining the inventory of office supplies and equipment like stationery and furniture maintaining proper stock levels at all times
- Handle reports and contracts for different activities and vendors, creating presentations and other management-level reports.
Job Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results










