QA 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.

Profile: Backen API developer

Should be well versed with API knowledge for social media scraping.

Full time remote job

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

Location Preferences

• Candidates located in Kerala are preferred.

Skills and Qualifications

• Strong proficiency with JavaScript, React, and Redux

• Knowledge of Node.js and frameworks available for it(particularly Express,Loopback)

• Understanding the nature of asynchronous programming and its quirks and workarounds

• Good understanding of server-side templating languages

• Good understanding of server-side CSS preprocessors

• Basic understanding of front-end technologies, such as HTML5, and CSS3

• User authentication and authorization between multiple systems, servers, and environments

• Integration of multiple data sources and databases into one system

• Understanding Cloud based application deployment.

• Understanding fundamental design principles behind a scalable application

• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform

• Creating database schemas that represent and support business processes

• Implementing automated testing platforms and unit tests

• Proficient understanding of code versioning tools, such as Git

About the company

• Banking Domain
• Assist the team in building Machine learning/AI/Analytics models on open-source stack using Python and the Azure cloud stack.
• Be part of the internal data science team at fragma data - that provides data science consultation to large organizations such as Banks, e-commerce Cos, Social Media companies etc on their scalable AI/ML needs on the cloud and help build POCs, and develop Production ready solutions.
• Candidates will be provided with opportunities for training and professional certifications on the job in these areas - Azure Machine learning services, Microsoft Customer Insights, Spark, Chatbots, DataBricks, NoSQL databases etc.
• Assist the team in conducting AI demos, talks, and workshops occasionally to large audiences of senior stakeholders in the industry.
• Work on large enterprise scale projects end-to-end, involving domain specific projects across banking, finance, ecommerce, social media etc.
• Keen interest to learn new technologies and latest developments and apply them to projects assigned.

Position Title:  Mobile Developer - Android                   Location: Bangalore, India    

Reports To: Manager of Mobile Development          

Position Summary:

Bottomline is at the forefront of digital transformation. We are a growing global market leader uniquely equipped to address the changing needs of how businesses pay and get paid. Our culture of working with and for each other enables us to delight our customers. We empower our teams to think like owners driving customer delight, helping them grow their business and win in their markets.

Bottomline Technologies delivers award-winning user experiences for large banks and financial institutions globally. Our Mobile Team seeks talented individuals who will deliver solutions across both business and consumer markets that are innovative, thoughtful, and set a new standard in the industry. The selected individual will be working with a talented and dynamic team building native applications for large enterprise system used by banks, insurance companies, and healthcare organizations around the world. 

Essential Job Functions:

• Design and develop native apps for Android with Kotlin and Flutter/Dart
• Build high quality and secure mobile application
• Work in fast based SCRUM teams
• Interact with Product Owners periodically; understand the requirements and provide application solutions.
• Engage with other mobile developers to create reusable code modules, flutter plugins.
• Promotes and adheres to good development practices: code/design reviews, optimization, and maintainability.
• Maintaining and contributing to technical documentation and coding standards.
• Keeps up to date with mobile application development trends and industry news.
• Design, implement and unit test SaaS applications for the mobile environment.

Required Skills:

• 3+ years hands on design and development with Android SDK with at least two apps in the PlayStore.
• A good understanding of OOPS, MVC, MVP, MVVM and other design patterns.
• Good to have worked in Test Driven Development, or Behavior driven development
• Working experience with WCAG 2.1 Level A and AA success criteria.
• Experience with Git and an understanding of CI/CD
• Experience with REST web services with JSON or XML formatted return data
• Strong communication and problem-solving skills
• Experience working in an Agile Scrum Development process

Education and Experience:

• BE / B Tech / MCA in Computer Science from a reputed university with good academic record

Job Role & Responsibility:

VMWare NSBU HCX team is looking for passionate engineers with a startup mindset and ready to solve business problems by applying technical engineering knowledge. You will be a part of enterprise class HCX cloud mobility platform to help customers solve datacenter evacuation, consolidation and hybrid cloud use cases. You’ll be part of a dynamic engineering team where a passion for innovation is a key to address technical problems, improve performance and scalability and focus on continuous improvement is of paramount importance. You will be a part of R&D development team focused on various aspects of HCX ranging from workload mobility to networking in the context of hybrid cloud paradigm. As part of the job, you will work with senior architects and other engineers of the team to deliver world class enterprise class product.

Required Skills:

• Background with Computer Science fundamentals (based on a BS or MS in CS or related field) with 4+ years of substantial professional experience
• Strong programming skills in Java/Go/Python
• Knowledge of distributed systems
• Understanding of Micro Services architecture, REST APIs Design and Development 
• Understanding of Kubernetes, Kafka, No-sql, Java/Sprint, Client MVC
• Exposure to one or more UI technologies
• Organized and passionate about details; able to effectively perform multiple/concurrent tasks within deadlines in a dynamic environment

Preferred Skills:

• Strong knowledge about virtualization, and/or container technologies
• Experience in SDN/Networking/Network Management domain is added plus
• Exposure to AWS, Azure is added plus