
- Striving to Meet or exceed Gross Operating Profit (GOP) and flow through Sales Goals.
- Maximizing Room Revenue and achieve Revenue Generating Index (RGI) and Revenue Per Available Room goals.
- Developing and monitoring the performance of financial and operational plans/ budgets and sales and marketing plans for the property that support the overall objectives of the Property.
- Controlling manpower for sales, services and expenses in all areas of operations.
- Managing day-to-day operations and assignments of the property.
- Planning and organizing work, Taking stock of available rooms and potential clientele, communicating goals, and scheduling/ assigning work.
- Complying with and advising staff of formal policies and procedures, identifying options and resolving issues.
- Achieving and maintaining Overall Satisfaction Score (OSS) goals - Overseeing the guest service function to ensure guest complaints are resolved appropriately, timely, and that appropriate service recovery gestures are made in order to ensure complete guest satisfaction.
- Ensuring that product quality standards are met in all areas of the property as it relates to the appearance, levels of maintenance and cleanliness; establishing and maintaining preventative maintenance programs to protect the physical assets of the hotel.
- Achieving productivity and quality goals.
- Ensuring the development and implementation of programs and events that foster a positive work environment, e.g., New Employee Orientation, employee recognition programs, harassment-free workplace training, etc.
- Establishing performance goals for employees including sales staff and providing regular feedback.
- Ensuring all staff is properly trained and have the tools and equipment needed to effectively carry out their job functions.
- Ensuring a safe and secure environment for guests, employees, and hotel assets. Complying with all standards and statutory requirements.
- Developing and maintaining rapport with key clientele/ community contacts to better recall and be a visible presence in the desired customersegment/ community.
- Promoting team work and quality service through daily communication and coordination with all department.
- Following and completing any and all other tasks assigned to you by the management from time to time.
What you need to have:
- Hotel management preferred
- Preferably from the Sales background,
- Responsible to maximize Revenue and Profitability, maximise Occupancy
- Deliver better property performance by Superior Service and Product Quality, drive brand and value initiatives
- Develop People , Handled Banquets, organised Weddings, Operations, Marketing, Sales.
- Preferably females

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RESPONSIBILITIES:
• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.
• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.
• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.
• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.
• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.
• You’ll be reporting directly to the head of the engineering and will be
instrumental in discussing and explaining the progress to top management and other stake holders.
• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.
REQUIREMENTS:
• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems
• Stay updated with latest research in machine learning esp. recommender systems and audio signals
• Have taken scalable ML services to production, maintained and managed their lifecycle
• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models
Minimum Qualifications
• 13+ years of industry experience doing applied machine learning
• 5+ years of experience in tech team management
• Fluent in one or more object oriented languages like Python, C++, Java
• Knowledgeable about core CS concepts such as common data structures an algorithms
• Comfortable conducting design and code reviews
• Comfortable in formalising a product or business problem as a ML problem
• Master’s or PhD degree in Computer Science, Mathematics or related field
• Industry experience with large scale recommendation and ranking systems
• Experience in managing team of 10-15 engineers
• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

Selected intern's day-to-day responsibilities include:
1. Develop web applications using HTML, CSS, JavaScript, AJAX, PHP, SQL, Bootstrap, WordPress, CI (Code Igniter), Joomla, Web-Hosting
2. Full stack development - Frond end (UI, UX), Middle tier (PHP, Perl) and Backend (PHP, Perl, SQL, Server-side scripting)
3. Work as a part of a core product development team to build online applications
4. Make sure the product being developed is tested and serves business requirements
5. Present ideas for system improvement
6. Work closely with business analysts
Documents:
• Aadhar card
• 2 Passport Size Photo
• SSC Marksheet Result
• 12/Diploma Marksheet Result
• UG Marksheet Result (Optional)
Internship Period:
• 3 Months Training
• 3 Months Live Project
Benefits:
• Joining Letter from Start Date
• 6 Month Experience Letter
• Experience of Live Project



- Handling Survey Scripting Process through the use of survey software platform such as Toluna, QuestionPro, Decipher.
- Mining large & complex data sets using SQL, Hadoop, NoSQL or Spark.
- Delivering complex consumer data analysis through the use of software like R, Python, Excel and etc such as
- Working on Basic Statistical Analysis such as:T-Test &Correlation
- Performing more complex data analysis processes through Machine Learning technique such as:
- Classification
- Regression
- Clustering
- Text
- Analysis
- Neural Networking
- Creating an Interactive Dashboard Creation through the use of software like Tableau or any other software you are able to use.
- Working on Statistical and mathematical modelling, application of ML and AI algorithms
What you need to have:
- Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics, economics) or equivalent experience.
- An opportunity for one, who is eager of proving his or her data analytical skills with one of the Biggest FMCG market player.


● 1+ years in developing applications on iOS.
● Experience working within consumer applications with a high amount of active
users.
● Strong foundation in computer science, data structures, algorithms and software
design.
● Worked directly with teams or team members in different time zones.
● Graduate in technical discipline (or equivalent working experience)
● Plus: Firebase, Good communication Skills
● Please attach Play store/ AppStore links of your apps with the application
CarWale Job Opportunity |Key Account Manager - Delhi & Mumbai - Enterprise Solutions
Department - Enterprise Solutions
About CarWale:
- About CarWale
CarWale is India’s largest and most preferred auto destination. We have been assisting buyers to make an informed buying decision through our website and mobile app. Over the last 14 years, our only aim has been to make car buying simple for our consumers. Today we serve over 20 million unique visitors every month, and at least one third of the country’s car buyers go through Carwale.com at some point during their pre purchase research.
Before you sign up with us, we would love to tell you more about the team you are going to be part of and believe, it will help you take the right decision.
About Enterprise Solutions:
Enterprise Solutions is the core solutions team within the company that interfaces with the largest advertising clients and devises customized marketing and technology solutions to suit their needs.
Role Requirement
Exp req- 1-3 yrs, from Tier 1 MBA College
Skills req- Sales, Business Development, Presales.
Auto, Consulting background preferred


solutions. Responsibilities include gathering user requirements, defining system functionality
and writing code in various languages, like JavaScript, Python, Scala, Java. Our ideal
candidates are familiar with the software development lifecycle (SDLC) from preliminary
system analysis to tests and deployment. Ultimately, the role of the Software Engineer is to
build high-quality, innovative and fully performing software that complies with coding
standards and technical design.
Responsibilities
• Execute full software development life cycle
• Develop flowcharts, layouts, and documentation to identify requirements and solutions
• Write well-designed, testable code
• Produce specifications and determine operational feasibility
• Integrate software components into a fully functional software system
• Develop software verification plans and quality assurance procedures
• Document and maintain software functionality
• Troubleshoot, debug and upgrade existing systems
• Deploy programs and evaluate user feedback
• Comply with project plans and industry standards
• Ensure software is updated with latest features
Qualifications
• Proven work experience as a Software Engineer or Senior Software Engineer
• Prior work experience of 1-6 years is welcome
• Experience designing interactive applications
• Understanding of algorithms and data structures
• Ability to develop software in Node.js(JavaScript), React.js, Python, Scala, Java or other
programming languages
• Excellent knowledge of databases, SQL and non-SQL technologies is a plus
• Experience in developing web applications using at least one popular web-framework
is a plus
• Experience with test-driven development
• Proficiency in software engineering tools
• Ability to document requirements and specifications
• Experience with Data Science is a plus
• University/college degree in Computer Science, Engineering or relevant field




