11+ Fraud management Jobs in Hyderabad | Fraud management Job openings in Hyderabad

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

Job Title : Oracle Analytics Cloud (OAC) / Fusion Data Intelligence (FDI) Specialist

Experience : 3 to 8 years

Location : All USI locations – Hyderabad, Bengaluru, Mumbai, Gurugram (preferred) and Pune, Chennai, Kolkata

Work Mode : Hybrid Only (2-3 days from office or all 5 days from office)

Mandatory Skills : Oracle Analytics Cloud (OAC), Fusion Data Intelligence (FDI), RPD, OAC Reports, Data Visualizations, SQL, PL/SQL, Oracle Databases, ODI, Oracle Cloud Infrastructure (OCI), DevOps tools, Agile methodology.

Key Responsibilities :

• Design, develop, and maintain solutions using Oracle Analytics Cloud (OAC).
• Build and optimize complex RPD models, OAC reports, and data visualizations.
• Utilize SQL and PL/SQL for data querying and performance optimization.
• Develop and manage applications hosted on Oracle Cloud Infrastructure (OCI).
• Support Oracle Cloud migrations, OBIEE upgrades, and integration projects.
• Collaborate with teams using the ODI (Oracle Data Integrator) tool for ETL processes.
• Implement cloud scripting using CURL for Oracle Cloud automation.
• Contribute to the design and implementation of Business Continuity and Disaster Recovery strategies for cloud applications.
• Participate in Agile development processes and DevOps practices including CI/CD and deployment orchestration.

Required Skills :

• Strong hands-on expertise in Oracle Analytics Cloud (OAC) and/or Fusion Data Intelligence (FDI).
• Deep understanding of data modeling, reporting, and visualization techniques.
• Proficiency in SQL, PL/SQL, and relational databases on Oracle.
• Familiarity with DevOps tools, version control, and deployment automation.
• Working knowledge of Oracle Cloud services, scripting, and monitoring.

Good to Have :

• Prior experience in OBIEE to OAC migrations.
• Exposure to data security models and cloud performance tuning.
• Certification in Oracle Cloud-related technologies.

Supercharge Your Career as a AI DevOps Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• AWS, Azure, or GCP
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

• Proficient in the development of Base Software in AUTOSAR.
• Experience in configuration of different AUTOSAR BSW components (Comms/DCM/DEM/Memory etc.)
• Experience working in any of the commercial AUTOSAR

Job description:

Roles and Responsibilities:

· Strong experience in angular 2 and above

· Strong experience in HTML, JavaScript, CSS, jQuery, WEB API, NET with C#

· Proficient in working with Microsoft SQL Server

· Experience in developing web applications using Angular

· Strong logical, analytical and problem-solving skills

· Strong background in building web applications

· Excellent communication skills

Perks and Benefits

· Excellent Salary structure & Performance based interim hikes.

· Corporate Group Medical Health Insurance for Employees.

· Employee friendly Corporate Work culture

• 3 + years expertise in Python 3.7, Django 2 (or Django 3).

• Familiarity with some ORM (Object Relational Mapper) libraries.

• Able to integrate multiple data sources and databases into one system.

• Integration of user-facing elements developed by front-end developers with server-side logic in Django (RESTful APIs).

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills.

• Proficient understanding of code versioning tools such as Git.

The desirablesoptionals

• Django Channels, Web Sockets, Asyncio.

• Experience working with AWS or similar Cloud services.

• Experience in containerization technologies such as Docker.

• Understanding of fundamental design principles behind a scalable application (caching, Redis)

We are looking for a skilled Full Stack Developer with experience with ReactJS, Nodejs/Express, working exposure to NoSQL, AWS and Python who will be responsible for developing and designing web applications for our company. In order for you to succeed in this role, you will need to be proficient in JavaScript, HTML, CSS, and have solid knowledge and experience in programming applications.

Responsibilities:

• Build the front-end of applications through appealing visual design
• Design client-side and server-side architecture
• Design, develop and manage well-functioning databases and applications
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software
• Ship code quickly and iteratively every day working with large real world datasets.

Requirements:

• Proficient in Javascript (React/Angular/Vue) Preferable good experience with Nodejs, Express)
• Bachelor degree in Web development or related field, or relevant experience.
• Solid knowledge and experience in programming applications.
• Proficient in NoSQL (MongoDB) and SQL (MySQL, Postgres)
• Dedicated team player.
• Ability to thrive in a fast-paced environment.
• Solid ability in both written and verbal communication.
• Knowledge of programming language and technical terminology.
• Able to develop ideas and processes and clearly express them.
• High degree of independent judgment.
• Able to solve complex problems.
• Experience with Python, RoR and/or PHP desired.