Business Team Lead

Wishlist’s mission is to amplify company performance by igniting the power of people. We understand that companies don’t build a business, they build people, and the people build the business. Our rewards and recognition platform takes human psychology, digitizes it, and then connects people to business performance.

We accomplish our mission through our values:

• Build the House
• Be Memorable
• Win Together
• Seek Solutions

We are looking for a talented and experienced machine learning engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data as well as a deep understanding of data science and software engineering principles.

Responsibilities - 

• Design, develop, and optimize recommendation systems, leveraging content-based, collaborative, and hybrid filtering techniques.
• Conduct end-to-end development of recommendation algorithms, from prototyping and experimentation to deployment and monitoring.
• Build and maintain data pipelines to support real-time and batch recommendation use cases.
• Implement KNN search, cosine similarity, semantic search, and other relevant techniques to improve recommendation accuracy.
• Utilize A/B testing and other experimental methods to validate the performance of recommendation models.
• Collaborate with cross-functional teams, including product managers, engineers, and designers, to define recommendation requirements and ensure effective integration.
• Monitor, troubleshoot, and improve recommendation models to ensure optimal system performance and scalability.
• Document models, experiments, and analysis results clearly and comprehensively.
• Stay up-to-date with the latest ML/AI and Gen AI trends, techniques, and tools, bringing innovative ideas to enhance our platform and improve the customer experience.

Required Skills - 

• 3+ years of experience in building recommendation systems, with a strong understanding of content-based, collaborative filtering, and hybrid approaches.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Strong knowledge of machine learning techniques, statistics, and algorithms related to recommendations.
• Proficiency in Python, R, or similar programming languages.
• Hands-on experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Experience with KNN search, cosine similarity, semantic search, and other similarity measures.
• Familiarity with NLP techniques and libraries (e.g., spaCy, Hugging Face) to improve content-based recommendations.
• Hands-on experience deploying recommendation systems on cloud platforms like AWS, GCP, or Azure.
• Experience with MLflow or similar tools for model tracking and lifecycle management.
• Excellent problem-solving abilities and experience in data-driven experimentation and A/B testing.
• Strong communication skills and ability to work effectively in a collaborative team environment.

Benefits - 

• Competitive salary as per the market standard.
• Directly work with the Executive Leadership. 
• Join a great workplace & culture.
• Company-paid medical insurance for you and your family.

Key Responsibilities:

• Facilitate Learning by setting up the KRA for his/her team: Create a supportive and engaging key result area where the team members are aligned towards their work daily. Foster a sense of community and collaboration among learners.

• Monitor Progress: Tracking the learners' progress and performance, identifying areas where they may need additional support or intervention. Keep detailed records of the team and understand the improvement that needs to be accomplished.

• Communicate Effectively: Maintain regular communication with the team members through various channels such as email, chat, or meetings. Provide timely updates, reminders, and feedback to keep the team informed and motivated towards their work.

• Collaborate with Team: Work collaboratively with the team to provide a learning experience for learners. Share insights, best practices, and resources to support continuous improvement.

• Escalation Handling: The ideal candidate will be responsible for handling the escalations that come up to them proficiently. Managing the blockers will be the sole responsibility of the candidate.

• Project Handling: The ideal candidate will be responsible for handling the projects that will be given to them and they also need to be proactive in taking up new projects and completing them within deadlines.

• Stakeholder Management: The ideal candidate will be responsible for maintaining good relations with the internal stakeholders for the team and the occurring requirements. Reporting to the operations lead and the co-founder to understand the requirements will also be the responsibility of the lead.

• Analytical skills: Maintaining data-driven records of the team and implementing them along with data presentation will also be the prior skill that the candidate should have. 

Why LiftOff? 

We at LiftOff specialize in product creation, for our main forte lies in helping Entrepreneurs realize their dream. We have helped businesses and entrepreneurs launch more than 70 plus products.

Many on the team are serial entrepreneurs with a history of successful exits.

As a Data Engineer, you will work directly with our founders and alongside our engineers on a variety of software projects covering various languages, frameworks, and application architectures.

About the Role

If you’re driven by the passion to build something great from scratch, a desire to innovate, and a commitment to achieve excellence in your craft, LiftOff is a great place for you.

• Architecture/design / configure the data ingestion pipeline for data received from 3rd party vendors
• Data loading should be configured with ease/flexibility for adding new data sources & also refresh of the previously loaded data
• Design & implement a consumer graph, that provides an efficient means to query the data via email, phone, and address information (using any one of the fields or combination)
• Expose the consumer graph/search capability for consumption by our middleware APIs, which would be shown in the portal
• Design / review the current client-specific data storage, which is kept as a copy of the consumer master data for easier retrieval/query for subsequent usage

Please Note that this is for a Consultant Role

Candidates who are okay with freelancing/Part-time can apply

• Participate in the entire application lifecycle, focusing on coding and debugging
• Write clean code to develop functional web applications
• Troubleshoot and debug applications
• Collaborate with Front-end developers to integrate user-facing elements with server-side logic
• Gather and address technical and design requirements
• Provide training and support to internal teams
• Build reusable code and libraries for future use
• Liaise with developers, designers to identify new features
• Follow emerging technologies

• Spent at least 3 yrs in a solid back end role
• Experience taking a problem to a product solution (module/product)
• Prior experience working with startups and understand the fast-paced, dynamic nature of work

• Javascript, NodeJS
• Client-server architecture
• OOP concepts, including design patterns
• Understanding of RDBMS (MySQL, Postgresql)
• Understanding of REST API
• Familiarity with frameworks such as ExpressJs

• Knowledge of TDD frameworks mocha, chai, jest, etc
• Knowledge of AWS (Lambda, RDS, EC2, SQS, S3, ECS, etc)
• Basic knowledge of Typescript, NextJs
• Prior experience in fin-tech

YOUR RESPONSIBILITIES

·         Automated testing of complex SPA Web application (brand-new software products based on unified platform, new features, bug verification), requirement testing, analysis and clarification (direct communication with product owner),

·         Communication with different cross-functional teams

·         Following automation testing standards set in the team

·         Help to build fully automated testing pipeline

 REQUIRED SKILLS AND EXPERIENCE                                                                                                

• 3-5 years of experience in automation testing
  
• Testing web-applications (UI and API), including SPA
• Black box testing (boundary values, equivalence partitioning)
• UI/UX Testing
• C# experience of 2+ years
  
• NUnit or similar
  
• Selenium WebDriver
• CSS-selectors                                                

DESIRABLE SKILLS AND EXPERIENCE                             

• Basic knowledge of core JavaScript
•  Desire to learn tools and techniques
• Confluence or similar
• Bug tracking system (Jira)
• TeamCity
• Allure or similar
  
• Jira X-Ray or similar
• Performance testing experience
• Cross-browser testing experience
• Security testing experience

PERSONAL SKILLS

·         Strong spirit skills set: conflict resistant, self -motivated, result-oriented, responsible, honest, “open”, courageous

• Identifies business opportunities by identifying prospects and evaluating their position in the industry; researching and analysing sales options.
• Sells products by establishing contact and developing relationships with prospects; recommending solutions.
• Creating his own network by recruiting candidates and make them understand business plan.
• observe the issues related to stockpoint and customer & trying to provide the solutions to it.

• Contributes to team effort by accomplishing related results as needed.
• Prepares reports by collecting, analysing, and summarizing information.