Faqs Jobs in Noida
3 Jobs Found
Technical Writer
Newgen Software
Position: Technical Writer Experience: 3 to 10 years Education: Bachelor s / Master s degree in any field Role Overview We are seeking an experienced Technical Writer to develop and maintain high-quality documentation that supports our software products. This role requires collaboration with Subject Matter Experts (SMEs), Product Management, and Support teams to create user-friendly, accurate, and comprehensive documents tailored to our customers' needs. Key Responsibilities Develop and follow documentation plans and project schedules, while staying adaptable to changing requirements. Write, edit, and maintain a wide range of software documentation, including user guides, installation manuals, configuration guides, and API documentation. Collaborate closely with SMEs, Support, and Product Management to fully understand product functionality and ensure accurate information is documented. Ensure all documentation deliverables adhere to established quality standards, including consistency, clarity, accuracy, and completeness. Produce developer-focused documentation explaining the usage of APIs/REST APIs and web services. Where feasible, install and use the products being documented to gain hands-on knowledge. Perform self-reviews to ensure proper grammar, language consistency, and adherence to writing style guidelines. Manage additional documentation or functional responsibilities as required. Required Qualifications & Skills Bachelor s / Master s degree in any field. 3 to 10 years of experience in creating software documentation within technology companies. Excellent written and verbal communication skills, with strong attention to detail. Proficiency in using documentation and editing tools, as well as familiarity with writing style guides (e.g., Microsoft Writing Style Guide). Ability to work both independently and collaboratively within cross-functional teams. Quick learner with the ability to grasp new technical concepts efficiently. Strong organizational skills, with the ability to manage multiple projects simultaneously. Comfortable working under tight deadlines and balancing competing priorities in a fast-paced environment. Preferred (Good to Have) Skills Hands-on experience with tools such as: Adobe RoboHelp, MS Office, Adobe Acrobat Graphic tools like SnagIt, Captivate, or Camtasia Basic knowledge of version control systems (e.g., Tortoise SVN) Qualification : Bachelors / Masters degree in any field.
Deputy Manager Risk Management
Paytm
Position: Deputy Manager Risk Management (Fraud Analytics) Location: Noida, Uttar Pradesh Department: Analytics Risk Operations (Offline Payments) Employment Type: Full-time About Paytm Paytm is India s leading mobile payments and financial services distribution company, and the pioneer of the mobile QR payments revolution. Our mission is to serve 500 million Indians and integrate them into the formal economy through cutting-edge technology that empowers small businesses and consumers alike. About the Team The Risk Analytics team plays a critical role in safeguarding the integrity of Paytm's ecosystem. We focus on proactive fraud detection, building robust risk controls, and driving strategic decision-making through data insights. Every challenge is an opportunity here and meaningful change starts with our people. With 500+ million registered users and over 21 million merchants, Paytm offers unmatched data depth and scale. This is your opportunity to be part of India s largest digital lending transformation. If you're passionate about creating impact, building scalable risk frameworks, and working in a fast-paced fintech environment this is the place for you. Role Overview As Deputy Manager Fraud Analytics, you will be instrumental in developing and managing fraud prevention strategies across Paytm s payment platforms. You ll support real-time fraud monitoring, rule configurations, analytics, and compliance. This role works closely with stakeholders across Risk Ops, Engineering, Product, and Compliance. Key Responsibilities Develop and optimize fraud detection models using rule-based and data-driven approaches Monitor real-time transactions to identify suspicious activity; escalate issues and recommend corrective actions Configure and fine-tune rules in fraud monitoring systems to reduce false positives and improve accuracy Analyze transaction patterns and fraud trends to preemptively address vulnerabilities Collaborate with internal teams (Risk, Product, Compliance) to align fraud mitigation with business goals Support regulatory compliance and internal control projects in accordance with RBI guidelines Generate periodic reports and dashboards for senior management on fraud insights and emerging risks Assist in audit responses and handle fraud-related queries from regulatory bodies Drive continuous improvement in fraud detection tools, techniques, and operational processes Required Qualifications & Skills Bachelor s degree in Data Analytics, Risk Management, Statistics, or a related field 4 8 years of experience in fraud analytics, risk management, or payments risk in fintech or BFSI Strong knowledge of fraud detection techniques and transaction monitoring systems Experience in configuring fraud rules and analyzing fraud patterns in high-volume environments Familiarity with RBI regulatory frameworks and guidelines governing payment platforms Excellent analytical and problem-solving skills Strong verbal and written communication skills, with the ability to present insights to both technical and non-technical teams Experience working with UPI, wallets, or other real-time payment systems Preferred Skills Exposure to machine learning models for fraud detection Experience in licensed TPAP (Third Party App Provider) setups Understanding of regulatory audits, compliance standards, and fraud risk reporting in a regulated environment What You ll Get A chance to be part of India s largest digital lending story Fast-paced, high-impact role in a leading fintech organization Opportunity to create tangible value for millions of users and merchants A collaborative, meritocratic culture that rewards performance Competitive compensation and career growth potential Join us on our mission to redefine financial inclusion in India. Be a part of something transformative. Be a part of Paytm. Qualification : Bachelors degree in Data Analytics, Risk Management, Statistics, or a related field
Gen Ai Engineer
Ksolves India Limited
Gen AI Engineer Location: Noida Experience: 2+ years Openings: 2 Roles & Responsibilities: Build and optimize RAG (Retrieval-Augmented Generation) and Agentic AI workflows using LangChain, vector databases (Pinecone, FAISS, ChromaDB), and embedding models. Implement LLM fine-tuning, prompt chaining, and response ranking to enhance generative AI performance. Develop and evaluate retrieval mechanisms using semantic search and vector similarity techniques. Benchmark model performance using BLEU, ROUGE, METEOR, BERTScore, and other LLM evaluation metrics. Deploy AI models in production environments (AWS, GCP, Azure) with MLOps best practices for monitoring and retraining. Stay updated on the latest advancements in LLMs, transformers, and multi-agent AI architectures, applying new techniques to improve AI-driven applications. Required Skills: 2+ years of hands-on experience in Generative AI, RAG, and Agentic AI workflows, with expertise in LangChain, embedding models, and vector databases (Pinecone, FAISS, ChromaDB). Strong Python skills with experience in Hugging Face, PyTorch, TensorFlow, and scikit-learn for LLM fine-tuning and prompt engineering. Proficiency in benchmarking LLMs using BLEU, ROUGE, METEOR, and BERTScore, ensuring model quality and optimization. Experience in cloud-based deployments (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, KubeFlow) for monitoring and retraining. Familiarity with containerized deployments (Docker, Kubernetes) and distributed computing (Ray, Spark) for scalable AI workloads. Strong problem-solving skills, with the ability to optimize LLM pipelines for latency, efficiency, and real-world applications.
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