• Generate prospects from leads
• Contact potential and existing customers by phone, email, and in person
• Handle customer questions, inquiries, and complaints
Requirements
• Excellent customer service and sales skills
• Strong verbal and written communication skills
• Excellent phone and presentation skills
• Strong negotiation and problem-solving skills
Shubham Vishwakarma
Full Stack Developer - Averlon
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Job Title: Technical Project Manager
Job Location: Hyderabad
Employment Type: Full-time (No WFH Option)
Job Summary:
We are seeking a skilled and experienced Technical Project Manager to manage and oversee the successful delivery of complex technical projects. The ideal candidate will have a strong background in software development, a solid understanding of project management methodologies, and the ability to coordinate with technical teams and stakeholders to ensure timely and high-quality project execution.
Key Responsibilities:
- Lead and manage technical projects from initiation through to completion, ensuring alignment with business and technical goals.
- Work closely with stakeholders, including product owners, developers, designers, and QA teams, to define project scope, objectives, and deliverables.
- Create and maintain detailed project plans, including timelines, milestones, resources, and budgets.
- Identify and manage project risks, issues, and dependencies, ensuring appropriate mitigation strategies are in place.
- Facilitate agile ceremonies (standups, sprint planning, retrospectives) and ensure smooth execution of sprints.
- Act as the primary point of contact between technical teams and non-technical stakeholders.
- Track and report on project progress, providing regular updates to stakeholders, including leadership, on project status, risks, and deliverables.
- Ensure the team follows software development best practices and ensures that projects meet technical and business requirements.
- Oversee resource allocation, ensuring the right skills are available and tasks are prioritized effectively.
- Manage change requests and scope creep, ensuring projects remain on track in terms of schedule, budget, and quality.
- Lead post-project reviews and retrospective meetings to analyze project outcomes and identify areas for improvement.
- Foster a collaborative and positive environment within the team, promoting knowledge sharing and professional growth.
Key Skills and Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field (Master’s degree is a plus).
- Proven experience as a Technical Project Manager or in a similar role with [X] years of experience managing complex technical projects.
- Strong knowledge of software development processes and methodologies, including Agile, Scrum, and Waterfall.
- Proficiency with project management tools such as Jira, Trello, MS Project, Asana, or similar.
- Strong understanding of technical concepts, including cloud technologies, software architecture, development frameworks, and databases.
- Excellent leadership, organizational, and time-management skills.
- Strong communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
- Ability to manage multiple projects simultaneously and prioritize tasks effectively.
- Proven experience in managing cross-functional teams and collaborating with external vendors.
- Knowledge of risk management, resource allocation, and budget management.
- Technical certifications (e.g., PMP, Scrum Master, or related) are a plus.
- Experience with CI/CD, DevOps practices, and software testing strategies is an advantage.
Desirable Attributes:
- Strong problem-solving and analytical skills.
- Ability to thrive in a fast-paced, constantly changing environment.
- Excellent interpersonal skills with the ability to motivate and guide teams.
- High attention to detail and a focus on quality.
- Strong ability to negotiate and manage stakeholder expectations.
- Ability to stay up-to-date with emerging technologies and industry best practices.
Work Environment:
- [Insert details: e.g., Office-based, Hybrid, Remote]
- [Insert any additional work environment specifics]
Develop and manage digital marketing campaigns across SEO, SEM, Social Media, Email, and Content Marketing.
Optimize website content, landing pages, and ad campaigns for better performance and conversions.
Manage and grow brand presence on Facebook, Instagram, LinkedIn, Twitter, and YouTube.
Monitor and report on campaign performance using tools like Google Analytics, Google Ads, and Meta Business Suite.
Conduct keyword research, write ad copies, and manage PPC campaigns.
Execute email marketing strategies for lead nurturing and customer retention.
Collaborate with designers, content creators, and developers to create impactful marketing assets.
Stay updated on the latest digital marketing trends and tools.
Role - Senior Executive Analytics (BI)
Overview of job -
Our Client is the world’s largest media investment company and are a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for a Senior Executive Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength, so we respect and nurture their individual talent and potential.
Reporting of the role - This role reports to the Director - Analytics.
3 best things about the job:
1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients
2. Build and be a part of a dynamic team
3. Being part of a global organisations with rapid growth opportunities
Responsibilities of the role:
• Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python, SQL, Alteryx.
• Work with large data sets via hands-on data processing to produce structured data sets for analysis.
• Good to Have - Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.
What you will need:
• Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science, or quantitative field.
• Proficiency in one or more coding languages – preferred languages: Python, R
• Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI
• Proficiency in using SQL.
• Minimum 3 years of experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models is a plus.
Hiring for the Profile of Oracle Utility Functional Consultant for Bangalore,Chennai,Hyderabad on immediate basis
Job Description:
1.Conduct module specific requirement workshop, capture and align business requirement
2.Analyse the detailed interface requirement and identify individual interface touch points
3. Prepare module wise detailed fit/gap analysis and identify customization components
4. Prepare module specific Functional specification
5. Prepare module wise Configuration master sheet which translates the “Fit” items to the technology
6. Identify customization/extension requirement and communicate to Technical consultants
7. Support Technical Architect in preparing detailed technical specification for both customization and integration components
8. Configure the product as per the design worksheet and bring up the individual business process
9. Lead UAT for the module, and ensure smooth customer signoff
10. Prepare / Support T3 material and conduct T3.
Qualification:
8+ Years of Experience in Oracle Utilities Application Framework (OUAF)
2. Strong functional Experience on CIS Billing
3. Strong knowledge across OU components
4. Minimum 7+ years of experience as Architect for OU product suite (CC&B, MDM, C2M)
5. Minimum 4+ Years on experience in architecting and delivering OU CC&B/C2M
6. Atleast 2 full implementation experience of CC&B in Architecting OU Solutions
7. Strong techno product expertise on OU CC&B with thorough understanding of cross functionalities
Notice Period: 0-1 Month
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with 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 knowledge 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 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.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Able to communicate with international clients without any communication hindrances.
- Own client on-boarding process including software installation, hardware configuration, client specific customization, and testing.
- Provide support in troubleshooting and solving technical errors to all our clients at various locations.
- Able to work independently and in a team and should have a can-do attitude.
Any US accent certification.
Excellent verbal/written english communication skills. (US accent preferred)
- Familiarity with computer technology specially in Windows OS.
About the job
As the AGM - Acquisition, you will be responsible for developing and implementing our marketing strategy for player acquisition. You will consistently execute, learn, and iterate result-oriented marketing campaigns to ensure successful player acquisition and optimum utilization of all resources. Leading a team of marketing specialists, you will work with senior leadership across functions and ensure we achieve industry-leading revenue and budget targets consistently.
Responsibilities
- Develop and implement a cohesive marketing plan for player acquisition through various platforms.
- Ideate and execute innovative campaigns for player acquisition. Strategizing and implementing various promotional offers and bonus offers to increase player acquisition and deposits.
- Create aggressive monthly and quarterly acquisition plans and ensure we meet them.
- Track the effectiveness of ongoing campaigns through regular reporting that includes details of customer behaviour, usage, and spending.
- Analyse the customer journey and identify key touchpoints in the customer's interaction to optimize customer activation and acquisition.
- Prepare regular reports and presentations on marketing metrics.
- Conduct market analysis to identify challenges and opportunities for growth.
- Provide guidance and ideas to organize effective marketing events.
- Conduct thorough competitive analysis to stay informed and ahead of the competition.
Requirements
Qualifications
- Demonstrable experience in a senior role leading acquisition as well as designing and implementing successful marketing campaigns.
- Thorough knowledge of SEM, Facebook and CRM tools like CleverTap, Web-engage, etc.
- Advanced Excel skills and knowledge of SQL and Tableau is preferable.
- Ability to creatively solve business problems through strategic and innovative approaches.
- Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects.
- Highly analytical with the ability to collate, analyse, and present data and drive clear insights into decisions that improve KPIs.
- Ability to effectively communicate and manage relationships with senior management, company divisions, and partners.
- Ideally, should have gaming or e-commerce industry experience.
About BLITZPOKER
BLITZPOKER is part of one of the largest poker networks in the world with over a million registrations and 100,000 active users.
In India, majority-owned by i3 Interactive Inc. BLIZTPOKER brings together all the fun and class in the world of online poker games in India with its exciting poker tournaments and promotions. It offers varieties of games in poker like Texas Hold’em, Omaha, Open Face Chinese Poker among others for professional and recreational players.
1. Write well-researched, SEO-friendly, high-quality articles & product descriptions
2. Create original copyright free content
3. Review and edit content
4. Recommend new content to address gaps in the company's current content
5. Ensure that you report to your manager each day
Website- https://urbantribe.in/" target="_blank">https://urbantribe.in/
Vue.js
React.js
AngularJS (1.x)
JavascriptWe are hiring Front End Developers 2+ years Experience- Mid to Senior Level at Displaysweet (www.Displaysweet.com)
Technical Qualities Required:
Experience working on web applications based on Vue.js or Angular or React
Solid knowledge of fundamental web technologies such as REST, HTML, CSS and JavaScript (ES2015+)
Interest in using Vue.js and its associated concepts to build a scalable web application
Great working knowledge of Git
A team-player, willing to help others through code review and pair programming
Open minded and always willing to further your own learnings
Quality oriented, a solid eye for detail, and good knowledge of data structures & algorithms
Bonus skills :
Experience with Hybrid/Native App development, NativeScript/React Native, Cloud Services (Firestore, AWS)
Excellent communicator
About the Company
DisplaySweet (www.displaysweet.com) is an innovative PropTech company creating world-class interactive experiences and sales software for the off the plan property industry.
Our core software is a content-rich sales presentation system designed specifically for property developers, agents and buyers.
Over the past 7 years, we have led the industry, transforming it to a digital platform, recently winning an industry award for the best property technology company in Australia. Our portfolio of clients includes some of the largest developers across Australia.
Machine Learning (ML)
Python
Deep LearningResponsibilities:
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
- Verifying data quality, and/or ensuring it via data cleaning.
- Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
- To design and develop Machine Learning systems and schemes.
- To perform statistical analysis and fine-tune models using test results.
- To train and retrain ML systems and models as and when necessary.
- To deploy ML models in production and maintain the cost of cloud infrastructure.
- To develop Machine Learning apps according to client and data scientist requirements.
- To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.
Technical Knowledge:
- Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase.
- Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
- Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark, Pandas, Numpy and related libraries.
- Expert in visualising and manipulating complex datasets.
- Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
- Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
- Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
- Big data Technologies such as Hadoop stack and Spark.
- Basic use of clouds (VM’s example EC2).
- Brownie points for Kubernetes and Task Queues.
- Strong written and verbal communications.
- Experience working in an Agile environment.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon