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· Develop and maintain responsive, high-performance UIs using React.js, Angular, or Vue.js.
· Integrate front-end applications with GCP backend services (Cloud Run, Cloud Functions, App Engine APIs).
· Collaborate with the GCP Architect and back-end developers to align UI design with overall system architecture.
· Implement real-time dashboards and data visualization pulling from AlloyDB, Cloud Spanner, or Cloud SQL.
· Optimize UI performance for scalability, accessibility, and responsiveness.
· Deploy front-end applications using Gemini Code Assist, CLI, and Git-based CI/CD pipelines.
· Implement authentication and authorization workflows leveraging GCP Identity Platform / IAM.
· Collaborate with UX designers to create intuitive, business-friendly experiences for logistics operators and clients.
· Explore and integrate AI-powered front-end features (recommendation widgets, chatbot interfaces, predictive UI components).
· Conduct code reviews and maintain front-end coding standards.
Experience & Qualifications
· 6–8 years of front-end development experience, with at least 3+ years in senior/lead analyst roles.
· Strong expertise in JavaScript/TypeScript and one or more frameworks: React.js, Angular, Vue.js.
· Experience integrating front-end with GCP-hosted microservices and APIs.
· Familiarity with Cloud Run, Cloud Functions, and App Engine.
· Experience deploying front-end apps via Gemini Code Assist and CLI.
· Working knowledge of Git-based CI/CD pipelines.
· Ability to consume and visualize data from GCP databases (AlloyDB, Cloud Spanner, Cloud SQL).
· Understanding of AI-driven UI/UX enhancements.
· Strong problem-solving skills and the ability to work in a distributed/global team.
Key Responsibilities
- Backend & API Engineering (60% Focus)
- Design and implement REST APIs and microservices for high-performance AI systems.
- Apply enterprise object-oriented programming best practices for secure, scalable backend services.
- Integrate AI-powered features with cloud-native architectures.
- Generative AI & LLM Development (40% Focus)
- Build LLM-powered features with the OpenAI API or other LLM APIs (reasoning and non-reasoning models, temperature tuning, version control).
- Implement retrieval-augmented generation (RAG).
- Apply advanced prompt engineering and model tuning techniques for optimized results.
- Deploy and manage solutions using Docker and secure integrations (e.g., SSO, Google Drive).
What We’re Looking For
- 10+ years of backend engineering experience (REST APIs, microservices, OO enterprise architecture).
- 3+ years of experience building AI/ML solutions (LLMs, RAG, OpenAI API).
- Strong hands-on Python expertise and object-oriented design patterns.
- Hands-on experience with Langchain, Lambda, Docker, and secure system integrations.
- Proven track record delivering production-ready, scalable applications.
- Promote and sell Orient Blackswan’s range of Higher Education books to colleges and universities in the assigned area.
- Regularly visit colleges and universities, faculty members, and booksellers to drive sales.
- Ensure the achievement of both sales and collections targets for the assigned areas.
- Build strong, long-term relationships with colleges and universities, faculty members and booksellers.
- Maintain detailed records of sales activities, feedback from customers, and competitive intelligence and submit regular reports to the regional sales manager.
- Stay updated on market trends, competitor activities and new opportunities in the assigned area.
Technical Architect (Databricks)
- 10+ Years Data Engineering Experience with expertise in Databricks
- 3+ years of consulting experience
- Completed Data Engineering Professional certification & required classes
- Minimum 2-3 projects delivered with hands-on experience in Databricks
- Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark™ on Databricks
- Experience in Spark and/or Hadoop, Flink, Presto, other popular big data engines
- Familiarity with Databricks multi-hop pipeline architecture
Sr. Data Engineer (Databricks)
- 5+ Years Data Engineering Experience with expertise in Databricks
- Completed Data Engineering Associate certification & required classes
- Minimum 1 project delivered with hands-on experience in development on Databricks
- Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark™ on Databricks
- SQL delivery experience, and familiarity with Bigquery, Synapse or Redshift
- Proficient in Python, knowledge of additional databricks programming languages (Scala)
Responsibilities:
- Develop and implement digital marketing strategies to drive lead generation and customer acquisition.
- Plan, execute, and optimize paid advertising campaigns across various digital platforms, including Google Ads, Facebook Ads, LinkedIn Ads, etc.
- Conduct keyword research and analysis to identify opportunities for improving search engine visibility and organic traffic.
- Create compelling ad copy and visual assets for digital ads, landing pages, and other marketing collateral.
- Monitor campaign performance, analyze key metrics, and provide actionable insights and recommendations for optimization.
- Collaborate with internal teams, including content creators, designers, and developers, to ensure cohesive and effective digital marketing campaigns.
- Stay updated on industry trends, best practices, and emerging technologies in digital marketing.
Requirements:
- 2-3 years of proven experience in digital marketing, with a focus on lead generation and paid campaigns.
- Proficiency in digital advertising platforms such as Google Ads, Facebook Ads Manager, LinkedIn Ads, etc.
- Strong analytical skills and the ability to interpret data to drive decision-making and campaign optimization.
- Excellent communication skills, both written and verbal.
- Creative thinking and problem-solving abilities.
- Ability to work independently and as part of a collaborative team environment.
Job Title: Test Engineer
Job Description:
We are seeking a Test Engineer with 3 to 6 years of experience to join our dynamic testing team. The ideal candidate will have a strong background in manual/Automation testing, excellent communication skills, the ability to write comprehensive test cases, and a deep understanding of the domain in which our products operate. The Manual Tester should be a proactive team player, capable of taking ownership of their work, maintaining good rapport within the team and across other teams, and providing clear and accurate documentation of testing activities. Hands on experience in automation testing and API testing.
Qualifications and Skills:
- 3 to 6 years of experience in manual testing and automation testing.
- Excellent communication skills to effectively collaborate with team members and stakeholders.
- Strong test case writing/execution and Automation scripting skills.
- Deep domain knowledge relevant to the software under test.
- Proactive and self-motivated with a strong sense of ownership.
- Effective documentation and reporting skills.
- Experience with Web Automation is mandatory and mobile automation is an added advantage.
- Experience with API testing.
Tiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.
About the Role:
As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
• Work closely with internal teams and client stakeholders to design analytical approaches to
solve business problems
• Develop and enhance a broad range of cutting-edge data analytics and machine learning
problems across a variety of industries.
• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &
versioning, documentation, scaling, deployment, monitoring and maintenance etc.
• Lead a team of data scientists and engineers to embed AI and analytics into the client
business decision processes.
Desired Skills:
• High level of proficiency in a structured programming language, e.g. Python, R.
• Experience designing data science solutions to business problems
• Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
• Comfortable with large scale data processing and distributed computing
• Excellent written and verbal communication skills
• 10+ years exp of which 8 years of relevant data science experience including hands-on
programming.
Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
- Should have E-publishing and Editorial services domain knowledge
- Should understand the competitive landscape and identify the gaps in the market
- Must be able to identify the right opportunities & qualify leads for the Sales team
- Should be able to handle communication and fresh conversations with prospects
- Should have min. 2 years of experience working on the US, European Markets
- Assist Sales Team in identifying, following up, and qualifying prospects
- Generate reports & dashboards on Marketing influenced pipelines regularly
- Create clear and crisp product presentations and solution demonstrations
- Research & develop prospect lists using LinkedIn, Zoominfo, and Web research
- Participate and actively contribute in Marketing Strategy Meetings
- To work with the sales team in handing over any pre-sales efforts
- Support sales efforts with in-depth product and business knowledge
- Miscellaneous Pre-Sales and Sales related activities
Required Experience / Qualifications
- MBA from a good institute with a go-getter attitude to pursue leads and targets
- A motivated, competitive individual with a strong aptitude for Publishing technology
- 4-6 years of experience in a sales & marketing role
- Knowledge of commonly used CRM Salesforce and Marketing automation tools and dashboards
- Excellent presentation skills, verbal and written communication skills, and interpersonal skills
Experience:
- 1 to 4 years of experience in Digital Marketing
Kinds of Projects Undertaken:
- ePublishing, Editorial Services, eLearning, eBook, Accessibility
- IMMEDIATE JOINEE
BA/BS degree in Computer Science or related technical field or equivalent work experience. MS degree is preferred. - 9+ years development experience in JAVA (using OO Design and Analysis, Design Patterns, etc.)
- High experience in Java 8 with hands on coding Required.
- 4+ years’ experience building highly scalable, distributed and reliable Restful Web Services using Spring, Jersey, etc.
- Should have knowledge on Cloud applications preferably on AWS.
- Knowledge on building Front end applications using JavaScript, AngularJS, HTML5, CSS3.
- Experience with relational DBs like MySQL and NoSQL Database like MongoDB, Solr/Lucene will be a plus.
- Experience with Tomcat, Jax-RS, REST, JPA, IntelliJ, Groovy, Hibernate is must.
- Experience with build technologies like Gradle, Jenkins will be a plus.
- Experience with Test Driven Development using TestNG/Junit testing frameworks.
- Experience working with version control like GIT.
- 8+ years (or more) experience shipping quality code
- 4+ years’ experience with leading frontend frameworks like Angular 1 to 8 or ReactJS, etc.
- Experience on Ionic Framework, Cardova
- Experience contributing front-end code to a publicly available, consumer-focused web application.
- Solid experience and understanding of HTML5, CSS3, and Javascript (vanilla JS and popular libraries like Underscore.js and jQuery)
- Experience with REST-based APIs







