Responsibilities: * Design, develop, test & maintain Oracle Flexcube solutions. * Collaborate with clients on core banking implementations. * Provide technical expertise for Finacle software.
Role & responsibilities The AI/ML Engineer will be responsible for the development and implementation of open-source large language models (LLM) tailored for the Banking, Financial Services, and Insurance (BFSI) sector. You will work collaboratively with cross-functional teams to design innovative solutions that enhance our product offerings, enabling more efficient customer interactions and data insights. Your analytical skills will help in improving the performance and scalability of LLM applications while ensuring adherence to compliance and security standards. Responsibilities Develop and implement open-source LLMs for BFSI applications. Collaborate with product managers, data scientists, and software engineers to define project objectives and deliver high-quality solutions. Conduct experiments and optimize model performance using real-world datasets. Monitor and evaluate model effectiveness in production and refine models based on feedback. Stay up-to-date with the latest advancements in AI/ML to incorporate relevant best practices into the development process. Contribute to documentation and knowledge base for models and methodologies. Requirements Bachelors degree or equivalent experience in Computer Science, Engineering, or a related field. Minimum of 3+ years of experience in AI/ML development, preferably in the BFSI industry, [With hands on coding and interview will be technical, you need to demonstrate your expertise in coding without AI agents and search engine You must have built and deployed AI/ML solutions to production Proficient in programming languages such as Python and also preferably typescript and java ; Python is core requirement . Proficiency in flask,fast api framework and have built application which is compliant to security standards and performant and scalable Able to work with rdbms and nosql databases and vector databases Experience with open-source ML frameworks (e.g., TensorFlow, PyTorch). Industry experience with open-source LLM frameworks (e.g., Langchain, ollama etc...). Solid understanding of machine learning algorithms, data structures, and statistical methods. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication skills to convey complex technical concepts to non-technical stakeholders
Responsibilities: * Collaborate with clients on project requirements & deliverables * Provide technical expertise during implementation phases * Ensure compliance with industry standards & best practices
Role & responsibilities Job Title: Automation Specialist (Selenium, Python & Robot Framework) Location: Marathahalli, Bangalore (Onsite) Job Type: Full-Time Job Summary: We are seeking an experienced Automation Specialist with at least 3+ years of hands-on experience in Selenium, Python, and Robot Framework . The ideal candidate will have strong expertise in designing, developing, and maintaining automation frameworks for web applications, along with experience in CI/CD integration. This role also requires excellent communication skills and the ability to work directly with clients and stakeholders in a professional manner. Key Responsibilities: Design, develop, and maintain automated test scripts using Selenium, Python, and Robot Framework .Build and enhance robust automation frameworks and reusable components.Collaborate with developers, QA engineers, product teams, and clients to define automation requirements.Execute automated test cases, analyze results, and report defects.Integrate automation testing with CI/CD pipelines (Jenkins, GitHub Actions, etc.).Maintain test environments and troubleshoot automation failures.Communicate effectively with clients, providing regular updates, clarifications, and technical insights.Document automation processes, test strategies, and best practices. Required Skills & Qualifications: 3+ years of professional experience in automation testing with Selenium WebDriver, Python, and Robot Framework .Strong understanding of object-oriented programming and scripting principles.Hands-on experience building automation frameworks and libraries in Robot Framework .Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.Proficiency with version control systems (Git, SVN).Knowledge of API testing (Postman, REST Assured) is a plus. Excellent verbal and written communication skills, with proven client-facing experience. Strong analytical, debugging, and problem-solving skills.Ability to collaborate effectively with both technical and non-technical stakeholders. Preferred Qualifications: Experience with cloud-based testing platforms (BrowserStack, Sauce Labs).Knowledge of performance and security testing methodologies.Familiarity with Agile/Scrum methodologies. Education & Experience: Bachelors degree in Computer Science, Information Technology, or a related field.Minimum 3 + years of relevant experience in automation testing. Compensation & Work Schedule: . Work Schedule: Monday to Saturday, 10:30 AM 7:30 PM (Alternative Saturdays Work
Role & resp Backend Engineer Generative AI (Infra) Experience Required: 2 5 Years Location: Bangalore (In-office)Brookfeild Employment Type: Full-Time About the Role We are looking for a Backend Engineer with experience in AI-based systems , particularly in building and maintaining Generative AI pipelines and scalable backend infrastructures . The ideal candidate will have a solid background in backend engineering , API design , and AI model integration , with a working understanding of LLMs, diffusion models, and multimodal AI applications . You will be responsible for developing and managing backend systems that power AI services — from model APIs to data retrieval pipelines — ensuring they run efficiently and securely in production. Experience in banking or enterprise-grade applications is highly preferred, as the role requires a strong understanding of security, performance, and compliance standards. Key Responsibilities Backend Architecture & Development Design and develop robust backend services to support AI and Generative AI workloads. Build and optimize RESTful and GraphQL APIs for model inference, prompt processing, and data access. Implement modular backend components for scalable, high-performance AI operations. Generative AI Pipeline Integration Collaborate with AI engineers to integrate and deploy Generative AI models (LLMs, diffusion models, text-to-image, speech-to-text, etc.) into production environments. Implement retrieval-augmented generation (RAG) pipelines using Vector Databases like Pinecone, Weaviate, FAISS, or Milvus. Handle AI model serving and inference optimization using frameworks like TensorFlow Serving, TorchServe, FastAPI, or custom endpoints . API Management & Optimization Develop and manage secure APIs for AI-driven services, ensuring version control, authentication (OAuth2, JWT), and scalability. Integrate third-party AI APIs (OpenAI, Anthropic, Google Gemini, Stability AI, etc.) within internal systems. Monitor API usage, optimize latency, and handle concurrency for high-throughput AI operations. System & Environment Setup Configure backend environments using Docker, Kubernetes, and CI/CD pipelines for automated deployments. Manage scalable cloud environments on AWS, Azure, or GCP , ensuring load balancing and fault tolerance. Set up development environments and backend utilities for cross-functional AI and data teams. Performance & Security Optimize server performance for inference-heavy AI pipelines through caching, queuing, and load balancing. Ensure compliance with data privacy and security regulations, especially in financial and regulated domains. Implement observability tools for monitoring, tracing, and performance analytics. Collaboration Work closely with AI/ML engineers, data scientists, frontend developers, and DevOps teams. Contribute to architecture discussions, documentation, and backend process improvements. Participate in agile ceremonies, code reviews, and team-level technical design sessions. Required Technical Skills Languages: Python (primary), Node.js and Java Backend Frameworks: FastAPI, Flask, Django, Express.js, Spring Boot AI & Generative Tools: Familiarity with LLMs (GPT, Claude, Gemini, LLaMA, Mistral) and diffusion models (Stable Diffusion, Midjourney APIs) Experience integrating transformer models via Hugging Face or OpenAI APIs Understanding of prompt engineering concepts and model-serving best practices Databases: PostgreSQL, MongoDB, Redis, Elasticsearch Vector Databases: Pinecone, Weaviate, Milvus, FAISS (for RAG systems) Infrastructure & DevOps: Docker, Kubernetes, Jenkins, GitLab CI/CD, AWS Lambda, ECS, or GCP Cloud Run Monitoring: Prometheus, Grafana, ELK Stack, New Relic API Technologies: REST, GraphQL, gRPC Preferred Qualifications Experience with AI product backend systems or enterprise/banking-grade software applications . Exposure to AI pipeline orchestration tools (LangChain, LlamaIndex, or Haystack). Understanding of model lifecycle management , vector embeddings , and inference scaling . Familiarity with data encryption, tokenization, and compliance frameworks (PCI DSS, ISO 27001, etc.). Soft Skills Strong problem-solving and debugging skills. Excellent communication and collaboration with cross-functional teams. High attention to detail and performance optimization. Curiosity and enthusiasm for emerging AI technologies and architectures. Education Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, or a related discipline. Certifications in AI/ML , Cloud Architecture , or Backend Development are a plus. Why Join Us Work at the intersection of backend engineering and Generative AI innovation . Build production-ready systems for intelligent, large-scale applications. Collaborate with a team pushing the boundaries of applied AI and infrastructure optimization. onsibilities Preferred candidate profile