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The Games Lead will work with a cross-disciplinary team to manage the development process on a new, unannounced FPS shooter game.
This person will work primarily with engineering and QA to support and facilitate the on-time and on-budget delivery of our game.
Responsibilities
Manage hybrid Scrum-based development process using different tools such as Clickup.com, Asana, JIRA, spreadsheets, Miro, and other tools used to manage teams and processes.
Work with engineering in planning and development oversight: manage daily check-ins, track progress, and lead end-of-sprint retros.
Ensure we are getting the most out of engineering, work closely with design to ensure on-target implementation, and track against the schedule to keep on time and on budget.
Ensure that we are utilizing the most effective development processes possible.
Create reports that quantitatively track our progress every week and highlight progress and areas for improvement.
Coordinate QA and support for maximal efficiency and effectiveness.
Own the product roadmap, development schedule, and overall project P&L.
Ensure we approach development focused on a key risks-based approach working closely with all disciplinary leads and the CEO.
Qualifications
Prior lead PM or producer role on at least 1 successful F2P mobile title full lifecycle.
Experience working on at least 3 mobile game titles, full lifecycle.
Expert knowledge of all major development processes: You should know the whys (why are we doing things in specific ways?) and not just the actions/motions of the practices.
Expert knowledge of all major PM tools (Asana, JIRA, and Monday at the minimum).
Excellent leader and motivator of teams.
World-class problem solver.
Appropriate alignment with our company’s Values.
Ability to think outside of process (when necessary).
Willingness to abandon politics and bullshit and instead focus on problems & solutions and the delivery of as high quality of a product as our team can possibly create.
An extremely hard working and get it done work attitude.
• Drive and grow revenue from allocated customer base;
• Acquire new customer through telecalling and secondary research; nurture and generate revenue from them
• Register and engage customer base for online trainings, workshops, consultation programs
• Maintain and report MIS(Sales report) of daily customer interactions and follow through.
KEY RESULT AREAS
• % Achievement of Sales plan • % growth of business – MOM/QOQ/YOY – per customer /per territory • # New customer acquisition and % conversion
- Must have 7+ years of C++ Development experience
- For Financial Institutions (Banks) - preferably trading systems
- Must have developed C++ applications which talked to Oracle Database
- Must have 4+ years of experience in Pro*C code with C++
- Must understand how to Make files work to build applications
- Maths marks must be > 85% or 90th Percentile from 12th grade
- Must be really intelligent
- Must have great English skills and team leader
- Must be 100% hands-on and loves coding
10+ years relevant work experience, including technical program management or equivalent management experience in a mid- to large-sized Financial Technology firms or Payment’s technology divisions running complex software development programs with multiple stakeholders for at least 5 years.
3+ years of experience as a People Manager, managing a team of 40 to 50 members, inclusive of building and growing the team.
Broad experience, across functional and technical areas, designing, developing, deploying, and maintaining large scale projects in BFSI Domain.
Looking for professionals who have started their career into Development and Coding; have grown into Tech Lead roles followed by further transition into Project Management roles under BFSI domain.
Should have entirely owned the product development from start to end, i.e., inception to implementation. Someone who has worked on end-to-end implementation/development will be apt for this role.
Should be an expert in stake holder management, negotiating the requirement with the product team and understanding the timeline, team size, and the budget of the project.
Must also analyze requirements Vs the timeline.
Should be able to help interact with the architects meaningfully and gain knowledge of what infrastructure, the technology, APIs to use, front-end dependencies, solutions, and integration across the organization, the candidate should understand the business requirement and how to implement it technically. Accordingly, they will be able to plan and deliver.
Working expertise in Agile, Jira, and Cloud is mandatory. Agile Safe is essential.
Exposure to running agile ceremonies, change or release management. ServiceNow and similar change management tools are highly considerable.
Working experience with microservices, API servers, Mobile and Web Application Development is a must.
Prior experience with CI/CD software development process
Business knowledge
The person must have knowledge in at least one domain, i.e., Credit Cards, Lending, Investment, and Insurance.
Such domain knowledge and experience should be from the recent one and not from the earlier stages of the career.
Company Profile 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.
Our client is the Health-tech initiative of India's largest business house. Started in 2015, it empowers healthcare providers and consumers in India. All healthcare monitoring services are made available through an app that will help connect doctors, hospitals, pharmacies, laboratories and consumers, enabling preventive and predictive healthcare. It helps the care-givers to track the entire patient journey from the initial appointment and maintaining their records, generating lab test reports to providing virtual consultation and home-care solutions. It is expected that this futuristic guide will strengthen doctor-patient relationship and enhance the in-clinic experience.
As a Sr Marketing Manager - Growth Marketing, you will be responsible for user acquisition using different paid media channels by analysing and targeting the right consumers.
What you will do:
Leading, planning and executing of high scale performance campaigns on multiple advertising platforms
Strategizing end to end media plan using high budgets across digital and non-digital channels
Collaborating with product and tech teams to provide the best user experience for new users
Exploring new channels for growth and lead their end-to-end execution
Diving deep into data and using insights to identify opportunities for performance optimisation
Experimenting continuously on creatives and design to drive ROI
Desired Candidate Profile
What you need to have:
Bachelor’s degree or Master's degree (from tier 1 college IIT/ NIT/ IIM/ XLRI/ MDI/ Any Other Tier 1 Colleges)
7+ years experience with 4+ years experience in digital marketing at a high growth app-based B2C organisation
Strong quantitative mindset and data driven approach to digital marketing
Expert in excel-based data modelling, analytics tools
Handled large scale monthly digital marketing budgets
Hands-on experience in managing Facebook Ads, Google Ads at scale
Experience in programmatic advertising is a big plus for this role
Experience in managing TV budgets is a big plus for this role
Experience in understanding data using Google Analytics/ Mixpanel/ AppsFlyer or any other analytics or attribution tool
Experience in cross-team collaboration, team management and agency management
We are elated to hire a Senior Team Lead, Software Engineering. As a a Senior Team Lead, Software Engineering you will design applications and convert them into codes that are of high quality. In this role, you must have an experience in developing Web based applications and have the ability to pick up technical skills faster and deliver on time. As a Senior Team Lead, Software Engineering you will architect and design high complex technology innovations using latest technology and Services Architecture. Your responsibilities also include building automation tools to enhance developer efficiency and productivity along with Modernization of existing legacy solutions in an efficient and effective way with right quality. You will drive Org level initiatives and imperatives with complete ownership and Mentor junior associates and oversee their activities to ensure alignment with business’s overall vision and objectives. Your responsibilities also include ensure adoption of the best processes and techniques across scrum teams. Additionally, you will also serve as a technical resource manager and authority over multiple scrum teams.
As a people's Manager you will seek to understand disagreements, ensure all perspectives are heard and facilitate a plan for resolution. You will delegate the work appropriately, provide clear expectations and follow up to ensure progress and overcome roadblocks. In this role you will identify associates and team priorities based on business direction and adjust when needed. You will lead by example and share knowledge and experiences with associates and team. You will also, create a respectful work environment where you advocate for your team, create accountability, and recognize their accomplishments while you provide timely feedback to encourage success, ensure accountability, and connect opportunities for your associates’ development. Additionally, you will Identify the right talent to achieve the desired results, promote and build a diverse cohesive team to accomplish objectives and align associates' skills to fill gaps. Qualifications
Basic Qualification
6 years of total combined related work experience and completed higher education, including:
1 year of Software engineering work experience
1 year of people management, matrix management, project management or other indirect leadership work experience
5 years of additional work experience directly related to the duties of the job and/or completed higher education including:
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering or equivalent relevant experience
6+ years of relevant experience in software development using Java, Web development technologies
Preferred Qualification:
At least 9 years of experience in Robotic Process Automation in Java, React JS, Python, Java scripts , Experience in API & Web development
Job Responsibilities: • Design test plans, procedures, scenarios, and scripts to accurately assess new products or software updates according to customer requirements and company policies. • Develop testing protocol for various aspects, such as usability, database impact, error and bug finding, regression testing, and implementation scenarios. • Identify, analyse and create detailed records of problems that appear during testing, such as software defects, bugs, functionality issues, and output errors, and work directly with software developers to find solutions and develop retesting procedures. • Track problems, resolutions, and bug fixes throughout testing and create a comprehensive database of defects and successful mitigation techniques. • Create detailed, step-by-step documentation of test procedures for each phase or project as needed to ensure replicability, compliance with standards, and growth of company knowledge base. • Provide frequent feedback to developers, including recommendations for improvements, evaluation of problems, potential solutions, and discussion of further test requirements. • Design and implement automated testing tools when possible, and update tools as needed to ensure currency and accuracy.
Job Skills Required • Experience in Automated and Manual QA Processes (Bug tacking/reporting, root-cause analysis, documentation...) • Experience with Java, Git Source control, Selenium, Appium • Experience with Web and Mobile testing frameworks/tools such as selenium, appium and selendroid on native and hybrid Android apps. • Experience with designing and developing web and mobile test automation solutions on a framework level from scratch • Experience with build tools, test harness and reporting tools such as Maven, Gradle, TestNG, JUnit, Extent report, Allure report • Experience with debugging, troubleshooting android apps. Familiarity with CICD pipeline will be an added advantage with the tools such as Travis CI, Circle CI • Excellent time-management skills and commitment to meet deadlines.
Qualifications Required: • Bachelor’s degree in engineering, information technology, computer science, or similar field • Minimum 3 years of relevant work experience
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