Job Description: Design and execute test cases based on functional and regulatory requirements. Validate game logic, payout calculations, and Random Number Generator (RNG) compliance. Perform functional, regression, and compliance testing for slot games, casino systems, or betting platforms. Prepare and maintain compliance documentation regulatory standards. Coordinate with certification bodies during submission and audit phases. Work with automation engineers to implement test automation (if applicable). Track and report defects using tools like JIRA, Bugzilla, or others. Provide clear documentation and test evidence for audits. Required Skills: 4-7 years of experience in Software Testing/QA. Experience in gaming/casino/betting applications is mandatory. Hands-on experience with compliance testing for BMM/GLI is a huge plus. Strong understanding of RNG testing, pay-out validations, and return-to-player (RTP) percentages. Proficiency in testing tools and bug tracking systems. Knowledge of regulatory standards and certification processes. Excellent analytical and communication skills. Preferred Skills: Familiarity with Die harder, NIST, or other RNG testing suites. Experience working with third-party test labs. Exposure to security and audit testing. Automation testing experience (Selenium, Python, or similar) is a plus.
Greetings from TAO Digital!! We are currently looking for AI/ML Engineer for Bangalore location. Interested candidates can share your updated CV to [HIDDEN TEXT] 5+ years of professional experience in full-stack or backend development, with at least 5 years of recent hands-on experience working with Python and AI/ML-powered applications. Strong understanding of ML/NLP concepts, especially in areas such as text classification, summarization, and conversational AI. Proficiency working with Langchain, AWS Bedrock, OpenAI APIs, Hugging Face, and Vector Databases (e.g., Pinecone, FAISS, Weaviate, etc.). Experience with AWS services (especially Lambda, S3, Bedrock, Transcribe) in a SaaS or cloud-native environment. Solid experience in integrating AI features with frontend applications (React or similar). Ability to design clean, scalable APIs and integrate ML models into production systems. Exposure to data pipelines and unstructured text processing is a plus. Strong problem-solving, communication, and collaboration skills. Bachelors or Masters degree in Computer Science or related field. Show more Show less
Job Summary: We are looking for a highly skilled and motivated SDET to join our QA team. The ideal candidate will have experience in test automation, a solid foundation in programming (JavaScript or Java), and be familiar with modern tools and frameworks for both frontend and backend testing. You will work closely with developers, QA, and DevOps teams to ensure the highest quality in product delivery. Key Responsibilities: Design, develop, and maintain robust automated test scripts for web and backend applications. Collaborate with development teams to integrate automated tests into CI/CD pipelines. Analyze test results and provide detailed feedback to the development team. Perform performance and API testing using tools like JMeter and Postman. Ensure high-quality releases with thorough testing coverage. Investigate test failures, identify root causes, and contribute to issue resolution. Work on test data preparation using SQL/NoSQL databases. Required Skills & Experience: Programming Languages: Strong proficiency in JavaScript or Java . Database Skills: Experience working with SQL and NoSQL (MongoDB) . Test Automation Tools: Hands-on experience with any of the following: Playwright (preferred) Cypress Selenium API Testing: Proficient in using Postman . Performance Testing: Experience with JMeter . CI/CD: Familiar with integrating automation tests in CI/CD pipelines (e.g., Jenkins, GitLab CI). Good analytical and problem-solving skills. Excellent communication and collaboration skills. Good to Have: Understanding or experience with AI/ML testing methodologies or tools. Work Model: Location: Bangalore Mode: Hybrid (3 days working from client office) If you&aposre passionate about automation and eager to work in a fast-paced environment that values quality and innovation, we&aposd love to hear from you! Show more Show less
Immediate Joiners! Job Description Experience- 6+ years Build ingestion & validation pipelines (Landing ? Bronze ? Silver) using Spark/Glue/EMR. Standardize schemas, handle drift, quarantine & auditability. Convert to Geo Parquet & load Gold data into Aurora/PostGIS via DMS. Automate schema mgmt., lineage & discovery (Glue Catalog). Optimize pipelines for performance & cost; collaborate with geospatial teams. Key Skill Focus: Data Engineering (ETL/ELT), Spark (Glue/EMR), Python/Scala, AWS (S3, Glue, EMR, Athena, Aurora, DMS), Terraform, YAML/JSON Why Join Us Opportunity to work on cutting-edge data engineering projects Collaborative and growth-focused culture Flexible location options across major Indian cities Competitive compensation and benefits
As an AI Architect in this role, you will be responsible for designing and delivering scalable AI/ML solutions in production environments. You should have hands-on experience with Graph Databases like Neo4j, AWS Neptune, or MemGraph. Your primary focus will be proposing end-to-end architecture and solutions that meet complex business needs. Key Responsibilities: - Design and architect AI/ML systems using Graph Databases (Neo4j, AWS Neptune, or MemGraph) in production environments. - Analyze current systems and propose scalable solutions aligned with business objectives. - Evaluate different graph technologies and recommend the most suitable for specific use cases. - Develop Proof of Concepts (PoCs), technical prototypes, and production-grade AI pipelines integrating graph technologies. - Collaborate with data scientists, ML engineers, and backend developers for the seamless integration of AI models. - Define data modeling strategies for graph databases, including ontology/taxonomy design. - Establish best practices, documentation, and governance models for graph-based AI systems. Qualifications Required: - 10+ years of experience in AI/ML solution architecture or enterprise-level software development. - Strong hands-on experience with at least one graph database: Neo4j, AWS Neptune, or MemGraph. - Proven ability to design AI/ML solutions integrated with graph data modeling. - Deep understanding of data structures, algorithms, and distributed systems. - Hands-on experience with Python, Java, or Scala in AI/ML contexts. - Ability to facilitate technical discussions and make independent architectural decisions.,
Job Description: Dynamics 365 Functional Consultant will lead solution design, configuration, and testing activities for integrating Dynamics 365 Sales with LinkedIn Sales Navigator, ZoomInfo, and Seamless.AI. This role focuses on business analysis, system configuration, data mapping, and validation of enrichment workflows, ensuring CRM data accuracy, usability, and governance. Key Responsibilities Solution Design & Development Analyse business requirements for lead/contact enrichment, data governance, and workflow automation. Configure Dynamics 365 Sales entities, forms, and relationships for leads, contacts, and accounts. Define and create custom fields. Configure views, dashboards, and security roles for sales and data teams . Integration & Mapping Work with the Power Automate engineer to define field mapping between Dynamics and external enrichment sources. Validate inbound data for accuracy, duplication, and completeness. Support mock data setup for LinkedIn Sales Navigator signals when the native connector is unavailable. Testing & Validation Develop test cases and sample records for enrichment workflows. Validate write-backs from Power Automate into Dynamics fields. Verify that audit and provenance data (source, timestamp, confidence) are captured correctly. Governance & Documentation Define role-based access controls (RBAC) for enriched data. Document configuration changes, mappings, and workflow dependencies. Provide handover notes and user training for sales and admin teams. Collaboration Partner closely with Power Automate engineer to align workflow logic with CRM schema. Collaborate with client stakeholders to confirm test results and acceptance criteria. Support demonstration and walkthrough sessions during pilot and go-live Required Skills & Experience: 8+ years of experience as a Dynamics 365 Functional Consultant (preferably in Sales module). Strong understanding of Dataverse schema, forms customization, and business process flows. Experience in data integration and field mapping between CRM and third-party systems. Familiarity with LinkedIn Sales Navigator integration and Power Automate. Strong analytical and documentation skills. Ability to work closely with technical and business teams. Preferred Skills Experience with ZoomInfo or Seamless.AI API integrations. Knowledge of data governance, audit logging, and compliance best practices. Exposure to Power BI for reporting and ROI tracking.