Notice Period : Candidates with up to 1-month notice preferred Findability Sciences is looking for a hands-on AI expert with experience in developing and implementing comprehensive predictive and generative AI solutions. This is a core technical role rather than a support-based one. You will lead innovation and delivery across multiple industries. What we are looking for: 3+ years of experience in AI/ML with a Masters or Ph.D. in a relevant field Strong knowledge of Python, SQL, Machine Learning, LLMs, RAG, and Prompt Engineering Experience in predictive modeling, time series forecasting, and generative AI use cases Experience with ML Ops workflows model deployment, monitoring, versioning, and pipeline automation Key Responsibilities: Design and deploy predictive & GenAI solutions for real-world business use cases Build and optimize LLM-based workflows for summarization, retrieval, and Q&A Collaborate with cross-functional teams to define use cases and develop proof-of-concepts Translate business problems into ML/GenAI solutions and deliver outcomes Validate, compare, and optimize models for performance and scalability Apply basic ML Ops practices to ensure smooth deployment and monitoring of models Contribute to reusable pipelines, prompt tuning strategies, and production integration Present actionable insights and models to stakeholders clearly and effectively

Findability Sciences is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Joining - Preferred immediate joiners. Job Summary: We are looking for a highly skilled and creative UI Developer with 4 to 5 years of experience in building responsive, high-performance, and user-centric web applications. The ideal candidate should have a strong understanding of HTML5, CSS3, JavaScript , and frameworks like React , Angular , or Vue.js , along with hands-on experience in integrating APIs and collaborating with backend developers and UX designers. Key Responsibilities: Develop and maintain modern, responsive web UIs using JavaScript frameworks such as React , Angular , or Vue.js . Convert UI/UX designs and wireframes into high-quality code . Collaborate with UX/UI designers , backend developers , and product managers to deliver intuitive and efficient user interfaces. Integrate frontend components with RESTful APIs and backend services. Ensure cross-browser compatibility and responsive design across devices. Optimize UI performance and page load times. Maintain code quality through unit testing , linting , and adherence to coding standards . Participate in code reviews , daily stand-ups, and Agile ceremonies. Stay updated with the latest UI trends, tools, and best practices. Write and maintain frontend documentation for components and applications. Technical Skills Required: Frontend Languages: HTML5 , CSS3 , JavaScript (ES6+) , TypeScript Frameworks & Libraries: React.js with Redux, Hooks, Context API (preferred) Bootstrap , Tailwind CSS , Material UI , or other UI libraries State Management: Redux, MobX, NgRx, or Context API (as per framework) API Integration: Consuming and integrating RESTful APIs Familiarity with GraphQL (optional) Build & Tooling: Webpack, Babel, Vite npm/yarn, ESLint, Prettier Testing: Jest, React Testing Library, Cypress, Jasmine/Karma (based on framework) Version Control & Collaboration: Git (GitHub, GitLab, Bitbucket) Jira, Confluence (for task management/documentation) Design Collaboration: Figma, Adobe XD, Zeplin, or similar design tools Qualifications: Bachelors degree in Computer Science , Engineering , or a related field. 4-5 years of professional experience in UI/Frontend development. Solid understanding of responsive web design , cross-browser compatibility , and web accessibility (WCAG) . Strong attention to detail and design aesthetics. Good communication skills and ability to work in Agile/Scrum teams. Preferred Skills & Add-ons: Experience with Next.js , Nuxt.js , or Server-Side Rendering (SSR) Knowledge of Progressive Web Apps (PWA) Experience with CI/CD pipelines Basic understanding of backend concepts (Java/Spring Boot, Node.js) Certifications (Optional but Beneficial): Meta Certified Front-End Developer (React) Google Mobile Web Specialist Microsoft Certified: Azure Frontend Developer (for cloud-integrated apps)

Joining Preferred immediate joiners. Job Summary: We are seeking a skilled Java Backend Developer with 45 years of hands-on experience in building scalable, secure, and high-performance web applications. The role requires strong backend development skills in Java , with expertise in modern frameworks like Spring Boot and experience integrating with frontend/UI components using REST APIs. You will work collaboratively with cross-functional teams to design, develop, and deploy microservices-based applications. Key Responsibilities: Design and develop scalable RESTful APIs and microservices using Java, Spring Boot , and related frameworks. Collaborate with frontend/UI teams (React, Angular, etc.) to define, integrate, and test API contracts. Develop and optimize data models and queries, interact with both relational and NoSQL databases. Implement security best practices including authentication (OAuth2, JWT) and authorization mechanisms. Write clean, modular, and testable code with proper logging and exception handling. Perform unit testing, integration testing , and support QA for end-to-end system testing. Contribute to code reviews , architecture discussions, and performance tuning efforts. Build and manage CI/CD pipelines , participate in agile ceremonies (sprint planning, reviews). Maintain documentation for developed APIs, services, and workflows. Technical Skills Required: Programming Languages & Frameworks: Java 8/11+ advanced knowledge Spring Boot , Spring MVC , Spring Security , Spring Data JPA Hibernate , JPA , Lombok Experience with Maven/Gradle build tools API & Integration: Strong experience building and consuming RESTful APIs API documentation using Swagger/OpenAPI Integration with UI frameworks such as React , Angular , or Vue.js Knowledge of GraphQL (optional but a plus) Databases: Relational : PostgreSQL, MySQL, Oracle NoSQL : MongoDB, Redis (preferred) Testing & Debugging: JUnit, Mockito, Postman, REST Assured End-to-end API testing and mocking tools DevOps & Deployment: Git , GitHub/GitLab Docker , Kubernetes (basic understanding) CI/CD : Jenkins, GitHub Actions Logging & monitoring: ELK, Prometheus, Grafana (preferred) Cloud Platforms (Preferred): AWS : EC2, RDS, S3, Lambda, API Gateway Azure or GCP (optional) Soft Skills: Strong analytical and debugging skills Good communication and collaboration with UI/front-end developers Agile mindset; experience working in Agile/Scrum teams Ability to write clear and concise technical documentation Qualifications: Bachelors or Masters degree in Computer Science , Information Technology , or equivalent. 45 years of experience in Java backend development with REST API integration and frontend collaboration. Experience with end-to-end system development , from requirements to deployment. Preferred Certifications (Optional): Oracle Certified Professional Java SE Spring Professional Certification AWS Developer Associate Certification

Joining Preferred immediate joiners. Job Summary: We are looking for a detail-oriented and analytical Data Analyst with 3 to 5 years of experience to support data-driven decision-making across the organization. The ideal candidate will be responsible for collecting, processing, and analyzing data to generate actionable insights that improve business outcomes. Key Responsibilities: Analyze large datasets to identify trends, patterns, and opportunities for improvement. Create dashboards, reports, and visualizations using BI tools to present findings to business stakeholders. Work closely with cross-functional teams to understand their data needs and deliver timely solutions. Write and optimize SQL queries to extract and manipulate data from various databases. Clean, transform, and validate data to ensure accuracy and reliability. Assist in the design and development of data models and reporting structures. Translate business requirements into technical specifications for reporting and analysis. Monitor key performance indicators (KPIs) and support root cause analysis for deviations. Perform ad hoc analysis and deep dives into specific business questions. Document data definitions, processes, and data sources. Technical Skills Required: Languages & Tools: SQL (Advanced) Excel (Advanced with Pivot Tables, VLOOKUP, Macros) Python or R (for data analysis and visualization optional but preferred) BI & Visualization Tools: Power BI, Tableau, Qlik Sense, Looker, or equivalent Databases & Platforms: SQL Server, PostgreSQL, MySQL, Oracle Experience with cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery) is a plus Other Tools: Jupyter Notebooks, Google Sheets, Alteryx (optional) Git or other version control systems (optional) Qualifications: Bachelor's degree in Statistics , Mathematics , Computer Science , Economics , or related field. 35 years of experience as a Data Analyst , Business Analyst , or in a similar analytical role. Strong analytical and critical thinking skills with attention to detail. Excellent communication skills and ability to explain complex data to non-technical stakeholders. Ability to prioritize and manage multiple tasks and projects simultaneously. Preferred Certifications (Optional): Microsoft Certified: Data Analyst Associate (Power BI) Google Data Analytics Professional Certificate Tableau Desktop Specialist

Joining Preferred immediate joiners. Job Summary: We are seeking a skilled and motivated Data Developer with 3 to 5 years of hands-on experience in designing, developing, and maintaining scalable data solutions. The ideal candidate will work closely with data architects, data analysts, and application developers to build efficient data pipelines, transform data, and support data integration across various platforms. Key Responsibilities: Design, develop, and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources (structured and unstructured). Develop and optimize SQL queries , stored procedures, views, and functions for data analysis and reporting. Work with data warehousing technologies (e.g., Snowflake, Redshift, BigQuery, Azure Synapse) to support business intelligence solutions. Collaborate with data engineers and analysts to implement robust data models and schemas for analytics. Ensure data quality , consistency, and accuracy through data validation, testing, and monitoring. Implement data security, compliance, and governance protocols in alignment with organizational policies. Maintain documentation related to data sources, data flows, and business rules. Participate in code reviews , sprint planning, and agile development practices. Technical Skills Required: Languages & Tools: SQL (Advanced proficiency required) Python or Scala for data processing Shell scripting (Bash, PowerShell) ETL Tools / Data Integration: Apache NiFi, Talend, Informatica, Azure Data Factory, SSIS, or equivalent Data Warehousing & Databases: Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse SQL Server, PostgreSQL, Oracle, or MySQL Cloud Platforms (at least one): AWS (Glue, S3, Redshift, Lambda) Azure (ADF, Blob Storage, Synapse) GCP (Dataflow, BigQuery, Cloud Storage) Big Data & Streaming (Nice to Have): Apache Spark, Databricks, Kafka, Hadoop ecosystem Version Control & DevOps: Git, Bitbucket CI/CD pipelines (Jenkins, GitHub Actions) Qualifications: Bachelors or Masters degree in Computer Science , Information Systems , or related field. 35 years of professional experience as a Data Developer or Data Engineer. Strong problem-solving skills and the ability to work both independently and in a team environment. Experience working in Agile/Scrum teams is a plus. Excellent communication and documentation skills. Preferred Certifications (Optional): Microsoft Certified: Azure Data Engineer Associate AWS Certified Data Analytics Specialty Google Cloud Professional Data Engineer