Mandatory Technical Skills: Bachelors degree in computer science, Engineering, or a related field/ MCA.Minimum 8+ years of Java development experience with strong Spring Boot proficiency.Proven experience in designing and developing microservices architecture.Deep understanding of RESTful APIs, asynchronous messagingStrong knowledge of PostgreSQL / MySQL databases / NoSQL DB(Mongo DB, Casandra DB).Participate in agile ceremonies including sprint planning, daily standups, and retrospectives.Should Have Skills: Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.Familiarity with cloud platforms (AWS, GCP) and serverless computing is a plus.Excellent problem-solving skills and ability to troubleshoot complex issues.Strong communication skills and ability to work effectively in a collaborative team environment.Experience with Agile/Scrum methodologies and CI/CD pipelines.Good to have Skills: Design and develop microservices using Spring Boot, ensuring high performance, scalability, and maintainability. Collaborate with cross-functional teams to define, design, and ship new features.Optimize and refactor existing codebase for improved reliability and performance.Implement best practices for security, authentication, and data protection in microservices architecture.Work closely with DevOps teams.Roles & Responsibilities: Design, develop, and maintain java applications.Write clean, efficient, and maintainable code.Collaborate with cross-functional teams for software delivery.Conduct unit and integration testing, debugging, and bug fixing.Integrate java applications with databases using technologies like jdbc, hibernate, or jpa.Optimize application performance by identifying and addressing bottlenecks.Participate in code reviews to ensure code quality and consistency.Create and maintain documentation for code and technical specifications.Implement security best practices to ensure application safety.Stay updated with java trends and apply new knowledge to projects.Utilize frameworks like spring or java ee for efficient development.Follow object-oriented design principles for scalable architecture.Manage version control, deployment, and environment configuration.Collaborate with designers, testers, and other team members.Contribute to continuous learning and improvement within the team.Participate in agile ceremonies including sprint planning, daily standups, and retrospectives.

Profile : Product Owner AI/MLPosition OverviewWe are seeking a forward-thinking Product Owner with 3+ years of experience to lead AI/ML product initiatives. This role demands a product-minded professional with a strong understanding of machine learning lifecycles, data-centric product development, and a proven ability to work cross-functionally. As a Product Owner, you will define the strategy and roadmap for intelligent solutions that solve real business problems and drive value through data and automation.Key Responsibilities1. Market Research and Competitive AnalysisConduct in-depth market research to identify trends, user needs, and opportunities in the AI/ML space.Perform competitive analysis to benchmark against existing solutions and identify differentiation strategies.Use insights from market research to inform product strategy, feature prioritization, and go-to-market planning.2. Product Vision and StrategyDefine and communicate a clear product vision for AI/ML-powered solutions aligned with customer needs and business objectives.Develop and maintain a product roadmap that balances short-term delivery and long- term innovation.Partner with Data Scientists, ML Engineers, and Business Leaders to shape the product strategy for data-driven initiatives.3. Discovery and SolutioningDrive product discovery using a data-first approach: analyze user behavior, explore market trends, and assess algorithm effectiveness.Lead problem-solving workshops and ideation sessions to uncover high-impact AI/ML use cases.Validate concepts through rapid prototyping and proof-of-value experiments.4. Backlog ManagementOwn and maintain a prioritized backlog focused on ML model development, data ingestion pipelines, and end-user features powered by AI. Collaborate with engineering and data science teams to break down technical tasks, clarify requirements, and ensure consistent delivery.Write detailed user stories, clearly articulating model behaviors, success metrics, and edge case handling.5. Agile Project ExecutionLead agile ceremonies including sprint planning, reviews, and retrospectives, ensuring alignment between business and technical teams.Coordinate across cross-functional teams (Data Science, Engineering, Design, QA) to deliver high-quality, production-ready AI features.Mitigate delivery risks by identifying dependencies, managing scope, and maintaining technical feasibility awareness.6. Stakeholder EngagementServe as the voice of the customer and business for all AI/ML initiatives, translating requirements into actionable work items.Present roadmaps, updates, and outcomes to internal stakeholders, ensuring transparency and alignment.Collaborate with compliance, legal, and ethical AI teams to ensure responsible deployment of intelligent systems.7. Monitoring and OptimizationDefine KPIs and success metrics for AI features such as precision, recall, latency, user engagement, or automation rate.Collaborate with data teams to monitor model performance and user interaction to drive continuous improvement.Oversee A/B testing and post-launch analysis to validate hypotheses and identify optimization opportunities.

Job Description: AI EvangelistPosition OverviewWe are seeking a dynamic and engaging AI Evangelist to drive awareness, education, and adoption of AI and Generative AI technologies. This role blends marketing, storytelling, and technical knowledge to shape public perception and industry adoption of AI solutions. The ideal candidate will have strong marketing skills, a passion for AI, and the ability to communicate complex ideas in an accessible and compelling way.Key ResponsibilitiesAI Advocacy & Thought LeadershipDevelop and execute marketing strategies to promote AI solutions across industries.Craft compelling narratives about AIs impact on business and innovation.Represent the company at industry events, conferences, and on digital platforms.Collaborate with media and PR teams to position the company as a leader in AI.Content Marketing & Brand AwarenessCreate engaging content including blogs, whitepapers, case studies, and social media posts.Develop video scripts, podcasts, and webinars to educate audiences on AI topics.Work closely with design and digital teams to produce high-impact visual storytelling.Optimize content for SEO and digital engagement.Community Engagement & Developer RelationsBuild and manage relationships with AI/ML developer communities and industry influencers.Organize and participate in AI-focused webinars, workshops, and hackathons.Engage with social media audiences, responding to trends and discussions on AI topics.Market Insights & Competitive AnalysisStay updated on AI trends, market demands, and emerging technologies.Conduct research to identify industry challenges and opportunities for AI adoption.Provide marketing teams with insights on how to position AI products effectively.Cross-Functional CollaborationPartner with sales, marketing, and product teams to craft go-to-market strategies.Work closely with PR teams to develop AI thought leadership campaigns.Support business development teams in client education and AI adoption discussions.Qualifications and SkillsExperience: 3+ years in marketing, product marketing, brand advocacy, or a related field.Marketing Acumen: Strong understanding of digital marketing, content marketing, and branding strategies.Storytelling & Communication: Ability to simplify complex AI topics into engaging narratives.Public Speaking: Experience in delivering impactful presentations and moderating discussions.Content Creation: Expertise in writing blogs, social media posts, and marketing collateral.Community Engagement: Experience building and managing developer or industry communities .Business Acumen: Understanding of how AI solutions create business value across industries.Preferred QualificationsExperience in AI product marketing or technology evangelism.Hands-on experience with digital marketing tools, SEO, and analytics platforms.Background in AI ethics, responsible AI, or GenAI trends.Certifications in digital marketing, branding, or AI/ML foundations.