Data Science with AI Intern

Looking for somone with strong in AI, who have built the application and scaled them . Start up work exposure

8+ years of experience in successfully building, deploying, and running complex, large-scale web or data products.

Proven Management Experience: Demonstrated success managing a team of 5+ engineers for at least 2 years (managing timelines, performance, and hiring). You know how to transition a team from 'startup chaos' to 'structured agility'. 

● Full-stack Authority: Deep expertise with Javascript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment. 

● Architectural Track Record: Has built at least two professional-grade products as the tech owner/architect and led the delivery of complex products from conception to release. 

● Experience in working with REST APIs, Machine Learning, Algorithms & AWS. 

● Familiar with visualization libraries and database technologies.

 ● Your reputation in the technology community within your domain. 

● Your participation and success in competitive programming. 

● Work on unusual/extraordinary hobby projects during school/college that were not a part of the curriculum. 

● The school that you come from and organizations where you have worked earlier. Personality Expectations We believe that it takes a certain type of personality to do a certain kind of role well. 

● Thoughtful & Analytical: Unlike a sales role, this role requires deep analytical ability and thoughtfulness. You don't just "hit goals at any cost"; you architect sustainable solutions that prevent future debt. 

● The "Pack Leader" Mentality: You are competitive, but you understand that your team's win is your win. You shift from getting a dopamine hit from solving a bug yourself to getting a hit from unblocking your team to solve ten bugs. 

● High Ownership of Outcomes: You don't just care that the code was written; you care that the feature was delivered, works for the customer, and didn't break production. You expect very highly of yourself and being less than ideal anywhere almost pains you. 

● Resilience: You possess the mental endurance to push through complex technical constraints and tight deadlines without losing your cool. 

● Uncompromising Values: On the other side, there is only one thing that we care for apart from performance - your values. We have room for mistakes on the performance side, we have no room for mistakes on your values. 

Job Title : Talent Acquisition Sourcers

Roles and responsibilities:

• Sourcing candidates from various job portals.
• Conducting the initial screening rounds.
• Scheduling interviews with candidates and panel members.
• Job Posting for Portals, Social Media and External Sources.
• Preparing the Resource tracker Weekly, Monthly, Quarterly MIS.
• Conducting the Weekend Recruitment Drives.
• Worked on PPT and various ways of presenting data as a story/theme.
• Have managed high volume of data and MIS in past.
• Should have worked with corporates earlier.

Requirement:

• MBA (HR) / Graduate
•  have spent 70% doing IT recruitment & 30% non-it
• Ability to articulate confidently
• Excellent communication skills (written & verbal)
• Strong analytical skills
• Contract period : 1year

🚀 Hiring: Tableau Developer (Remote | Contract)

We are looking for an experienced Tableau Developer to join our team for a remote contract opportunity.

📌 Role: Tableau Developer

📍 Location: Remote

⏳ Employment Type: Contract

⚡ Immediate Joiners Preferred

🔹 Required Skills:

✔ Tableau Desktop & Tableau Cloud

✔ Strong SQL (MySQL/PostgreSQL)

✔ Experience with Relational Databases

✔ Tableau Security & Row-Level Security (RLS)

✔ Okta Integration & SSO Authentication

✔ CI/CD Pipelines & Version Control

🔹 Good to Have:

✔ MicroStrategy

✔ Power BI

🔹 Experience:

✅ 5+ years of overall IT experience

✅ 3+ years of hands-on Tableau development experience

✅ Experience building interactive dashboards and reports

✅ Strong understanding of data visualization best practices

🔹 Qualifications:

🎓 Bachelor’s Degree in Computer Science, Information Systems, Data Analytics, or a related field

Grid is a low-code platform that enables enterprises to move from traditional software to rapid application development. We are helping users change the way they interact with technology for internal management. Our plans for 2023 are to rapidly scale the customer base across our verticals and establish Grid as the leading digital transformation platform, this is where you come in.

Outbound Sales duties and responsibilities

• Conduct research on target industries and companies to identify key decision-makers and their contact information which in our case is mining, manufacturing and infrastructure
• Vet and manage lead list on CRM or other products and keep them updated
• Attend online events, community events, and forums to understand processes, requirements and trends
• Manage collaterals such as pitch decks and product brochures and make them available across the company
• Contact prospective customers by both telephone, email, and networking sites to convert prospects into leads
• On a daily basis, own sales qualification to build a pipeline of sales opportunities
• Interface with marketing team and provide them with qualified leads for campaign management
• Support the sales team in developing and implementing sales strategies and tactics
• Help prepare and send sales emails and follow-up communications
• Assist with other sales-related tasks as needed

Outbound Sales requirements and qualifications

• Currently enrolled in a Bachelor's or Master's degree program in Business, Marketing, or related field
• Ability to think on feet and continue engaging conversations with prospects and industry veterans and leaders
• Interpersonal and presentation skills is a must
• Strong written and verbal communication skills
• Excellent organizational and time management skills
• Ability to work independently and as part of a team
• Self-starter with a strong desire to learn and grow in a fast-paced environment
• Familiarity with Microsoft Office Suite and Google Suite
• Previous sales or customer service experience is a plus, but not required

Srijan is hiring for a Scrum Master/Senior Scrum Master role with a permanent WFH option.

A notice period of 30 days or less is preferred.
Remote working option available.


Roles and Responsibility:

 Backlog Maintenance

• Create and Manage Backlog
• Backlog grooming: Manage/Update “sprint-backlog” and “project-backlog” regularly after client calls and demos
• Plans forward-looking technology investigations (spikes / POC)
• After each sprint demo work with the dev team to estimate and re-estimate the backlog
• Facilitate prioritization of backlog first time;
• Facilitate prioritization of backlog during planning n+1 sprint with client
• Creating mock-ups/wireframes/Sketch images to illustrate or to detail for getting clarity from the client, and for communicating the task to the dev team
• Use JIRA for all backlog (no use of Google spreadsheets)

Daily Stand-ups

• Drive daily-stand-ups
• Ask what was done yesterday, what is the plan for today
• Ask probing questions in the stand-ups and outside of it
• Identify potential roadblocks or challenges that may come up
• Consult Group Lead and raise your concerns
• Implement advice by GL
• Ensure that the team is working towards completion of the sprint; each stand-up well did, will suggest if the velocity is enough to complete Sprint or no
• (Maintain and) Update the “information radiator board (with stickies)” for all sprints

Sprint Demos

• Run sprint demos
• Calls must be marked on the client and team’s calendar; no ambiguity in when calls happen
• Every member must be present on calls at least 2-mins before the scheduled time on the calendar; be the first to join the call as moderator
• If you are unable to join, ensure that the session is recorded; if it cannot be recorded, ensure the team has captured all feedback during the demo

Business Analysis

• Understand the business of the client and the project
• This will enable you to question business needs that clients communicate
• Validate and record agreements in stories, acceptance criteria
• Create mock-ups/wireframes/Sketch annotations to illustrate or to detail --  for getting clarity from the client; and for communicating the task to the dev team -- put these in stories in JIRA

Project Management

• The Plan -- Do -- Check -- Act (Complete control on the project)
• Create Physical boards “information radiator board (with stickies)
• Plan deliverables (JIRA/Sprint) along with the team
• Organize the Sprint, get re-estimates done,
• Plan Sprint n+1 with the client -- prepared stories for the n+1 sprint to be taken up by dev team; work with QA in
• Learn to read JIRA Burndown Charts to know if the project is on time or is there likely to be a delay
• If there is likely to be a delay, speak to the Agile Coach / Group Lead to decide the nature of communication to be sent to the client
• Release Planning - define release goals

Quality Assurance

• Detail out stories with acceptance criteria
• Ensure all stories have acceptance criteria
• Work with QA in improving quality of acceptance criteria
• Work towards zero-defect sprints
• Defect triage - accept/reject
• Support the Dev+QA team in testing yourself
• Use JIRA for all these activities
• Drive testing strategy
• Deliver stories piecemeal for testing throughout the sprint
• Validate technical architecture by asking relevant questions

Stakeholder Management

• Send out weekly Status emails to internal and external clients -- must be on SM’s calendar
• Red, Amber, Green status
• Budget consumption
• Key activities this week
• Pre-empt and document roadblocks that you/team foresee
• Raise/Flag issues to clients and work aggressively within the team/org to mitigate this
• Coach clients on agile/scrum, our model, align them on our practices, using Jira, etc

Engineering Practices

• Drive towards Unit Testing
• Drive towards Continuous Integration (CI) using Jenkins; leads to a clear release and deployment strategy/plan
• Piecemeal UAT strategy
• Drive Intrinsic quality like Code, stories written, test scenarios written
• Continuously monitor and improve them. Question people on them
• Use Jira rigorously to track stories, defects, and manage it end to end.

People, Process and Tool Coach

• Coach people to improve in their role
• Challenge and question people on the way they are working to make it better
• Run sprint-retros
• During retros listen for “cause” behind the words; by asking probing questions
• Continuously strive to improve yourself
• Handhold team on Scrum way of doing
• Strategize which tool to use for what purposes.

• 8+ years of experience as a Scrum Master
• Must have experience leading a team of around 15-20 team members in an Agile environment.
• Experience working in multi-geo or offshore environment
• JIRA experience
• Excellent verbal, written, and presentation skills
• Proven success in delivering projects within budget and specified timeframes, while ensuring customer satisfaction
• Proven problem-solving skills from problem assessment to solution selection
• Ability to identify alternatives and make contingency plans
• Capacity to embrace change and quickly adapt to new situations, changes in direction, and altering priorities
• Proven ability to thrive in a fast-paced, dynamic environment
• Ability to handle multiple projects and assignments
• Ability to demonstrate critical thinking, providing options and recommendations relating to resolving issues, mitigating risks, and resolving escalated items.
• CSM (Certified) or PMP (Certified) Good to have

• Design and build advanced applications for the Android and iplatforms form on.
• ReactNative
• Collaborate with engineering and cross-functional teams to define, design, and ship
• new features
• Work with outside data sources and APIs
•  Unit-test code for robustness, including edge cases, usability, and general reliability.
• •Work on bug fixing and improving application performance
•  Continuously discover, evaluate, and implement new technologies to maximize
• development efficiency.

• Knowledge of developing trends and emerging standards in mobile apps and
• mobile payments
•  Excellent technical knowledge of React Native
•  Pro with Android and iOS UI design principles, patterns, and best practices
•  Good understanding of RESTful APIs and how to connect Android applications to
• back-end services
•  You care about quality and you know what it means to ship high-quality code
•  Contribute to the design, architecture, and development of apps that are elegant,
• efficient, secure, highly available, and maintainable
• Highly motivated and maintain a positive, “can-do” attitude in an uncertain
• environment
• Follow and help cultivate consistent development best practices.

About LodgIQ

LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.

Title : Data Scientist

• Apply Data Science and Machine Learning to a REAL-LIFE  problem  - “Predict Guest Arrivals and Determine Best Prices for Hotels”
• Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
• Help scale up the product in a global offering across 100+  global markets

• Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization.    Student projects are acceptable.
• At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
•   Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
•   Solid grasp over  optimization techniques
•   Master's  or PhD degree in Business Analytics.  Data science, Statistics or Mathematics
•   Ability to show a track record of solving large, complex problems