11+ Nmap Jobs in Hyderabad | Nmap Job openings in Hyderabad
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Responsibilities
- Execute and support application vulnerability assessments (SAST, DAST, SCA, and manual code review), ensuring findings are accurate, actionable, and relevant to application risk.
- Validate scanner results, perform false-positive analysis, and track findings through remediation, including retesting to confirm effective fixes.
- Manage multiple application security initiatives concurrently while meeting strict timelines in a fast‑paced environment.
- Prioritize vulnerabilities based on business impact, exploitability, exposure, and likelihood, using industry best practices (e.g., CVSS scoring).
- Develop and maintain dashboards and reports tracking vulnerability metrics such as severity distribution, remediation SLAs, and mean time to remediation (MTTR).
- Support the integration of security scanning and vulnerability workflows into CI/CD pipelines, leveraging existing tooling and automation.
- Facilitate remediation planning by providing actionable recommendations and coordinating root cause analysis.
- Support threat modeling and application risk assessments, with a focus on discovering insecure design patterns.
- Participate in high‑severity or zero‑day vulnerability response activities, including impact analysis and coordinated remediation efforts, as needed.
- Provide input into policies and standards related to application and cloud security controls.
Qualifications and Education Requirements
- Bachelor’s degree in information technology, Cybersecurity, Computer Science, or related discipline—or equivalent professional experience.
- 5-7 years of relevant experience in application security and/or vulnerability management.
- Solid understanding of common vulnerability classes (e.g., OWASP Top 10) and secure architecture principles.
- Proficiency in using Burp Suite for manual security testing of web applications and APIs, including validation of automated findings and identification of complex authentication, authorization, and business‑logic vulnerabilities.
- Hands-on experience with tools such as Burp Suite, Fortify, Checkmarx, SonarQube, Black Duck, Tenable, and common network discovery tools (e.g., Nmap).
- Familiarity with NIST, MITRE ATT&CK, and CIS benchmarks.
- Programming/scripting proficiency in languages such as Python, Java, .NET, or similar.
- Excellent documentation, communication, and stakeholder engagement skills.
Desired Skills
- Professional certifications (e.g., Security+, SSCP, GWAPT, or pursuing CISSP, OSCP).
- Experience using the ServiceNow platform for vulnerability or incident tracking.
- Proficiency in Azure cloud and Azure DevOps environments.
- Experience using Power BI or similar tools to visualize vulnerability metrics and remediation trends for technical and non-technical stakeholders.
Key Responsibilities
Data Modeling & Power BI Development
Design, develop, and maintain high-performance Power BI dashboards and reports.
Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations
Optimize existing reports and data models for speed, efficiency, and scalability.
Advanced Data Extraction & Transformation
Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.
Ensure data integrity and consistency between source systems and front-end reports.
Required Technical Skills & Qualifications
Must-Haves (Non-Negotiable)
Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).
Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.
Nice-to-Haves
Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.
Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.
Basic knowledge of Python for data manipulation.
Soft Skills & Core Competencies
Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.
Communication: Ability to explain complex technical data constraints to non-technical business users clearly.
Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.
AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.
Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)
Responsibilities:
- Own the full ML lifecycle: model design, training, evaluation, deployment
- Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
- Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
- Build agentic workflows for reasoning, planning, and decision-making
- Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
- Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
- Collaborate with product and engineering teams to integrate AI models into business applications
- Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices
Requirements
- 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
- Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
- Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
- Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
- Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
- Strong software engineering background with experience in testing, version control, and APIs
- Proven ability to balance innovation with scalable deployment
- B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
- Bonus: Open-source contributions, GenAI research, or applied systems at scale
Job Description:
Experience: 7 -15 Years
Job Description :
Key responsibilities
As an GEN AI Expert [Min 4 + years of relevant exp on NLP, CV and LLMs], you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges. You will play a key role in creating intuitive and efficient model designs that enhance user experiences and business processes. The position demands strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging capabilities.
- Model & Agent Design: Conceptualize and design robust NLP solutions and LLM agents tailored to specific business needs, with a focus on user experience, interactivity, latency, failover and functionality.
- Hands-on Coding: Write,test, and maintain clean, efficient, and scalable code for NLP models and AI agents, with a strong emphasis on Python programming.
- Build high quality multi-modal & multi-agents applications/frameworks
- Knowledge on input/output token utilization, prioritization and consumption w.r.t AI agents
- Performance Monitoring: Monitor, optimize LLM agents, implementing model explainability, handling model drift, and ensuring robustness.
- Research Implementation:Ability to read, comprehend, and implement AI Agent research papers into practical solutions. Stay abreast of the latest academic and industry research to apply cutting-edge methodologies and techniques.
- Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to AI agents, including model inaccuracies, performance bottlenecks, and system integration problems. Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors.
- Innovation and Research:Stay updated with the latest advancements in AI agents technologies,experimenting with new techniques and tools to enhance agent capabilities and performance.
- Continuous Learning: Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves. Maintain a proactive approach to staying current with emerging trends and technologies in Agent based solutions (Text & Multi Modal).
- Clear understanding of tool usage and structured outputs in agents
- Clear understanding of speculative decoding and AST-Code RAG
- Clear understanding of Streaming and Sync/Async processing
- Clear understanding of embedding models and their limitations
Tech stack required:
Programming languages: Python
Public Cloud: Azure
Frameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool.
Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production.
Job Summary
We are seeking an experienced ServiceNow Business Analyst with strong expertise in Integrated Risk Management (IRM) and Governance, Risk, and Compliance (GRC). The ideal candidate will bridge business needs and technical solutions, driving the implementation and optimization of ServiceNow IRM/GRC modules while ensuring alignment with organizational risk and compliance objectives.
Key Responsibilities
- Collaborate with stakeholders to gather, analyze, and document business requirements for IRM/GRC processes
- Translate business requirements into functional specifications and user stories for ServiceNow implementations
- Lead workshops, requirements sessions, and stakeholder meetings
- Configure and support ServiceNow IRM/GRC modules, including:
- Policy and Compliance Management,
- Risk Management,
- Audit Management,
- Vendor Risk Management
- Work closely with developers and architects to ensure accurate implementation of requirements
- Perform gap analysis and recommend process improvements aligned with industry best practices
- Support User Acceptance Testing (UAT), including test case creation and defect management
- Maintain documentation, including BRDs, FRDs, process flows, and user guides
- Ensure data integrity, reporting accuracy, and dashboard creation within ServiceNow
- Provide ongoing support and enhancements post-implementation
Required Skills & Qualifications
- 6+ years of experience as a ServiceNow Business Analyst, with at least 4+ years in ServiceNow IRM/GRC
- Strong understanding of risk management and compliance frameworks (e.g., ISO 27001, NIST, SOX)
- Hands-on experience with ServiceNow IRM/GRC modules
- Proficiency in requirement gathering, stakeholder management, and business process mapping
- Experience working in Agile/Scrum environments
- Strong analytical, problem-solving, and communication skills
- Ability to work with cross-functional teams and manage multiple priorities
Preferred Qualifications
- ServiceNow Certified System Administrator (CSA)
- ServiceNow Certified Implementation Specialist – Risk and Compliance (CIS-RC)
- Experience with integrations, reporting, and dashboards in ServiceNow
- Knowledge of ITSM processes and their alignment with GRC
- Prior consulting or client-facing experience
Key Competencies
- Stakeholder Management
- Business Analysis & Requirement Elicitation
- Risk & Compliance Domain Knowledge
- Process Improvement
- Communication & Presentation Skills
Nice to Have
- Experience with SecOps or Third-Party Risk Management
- Exposure to automation and workflow optimization within ServiceNow
- Understanding of regulatory environments across industries (BFSI, Healthcare, etc.)
Responsibilities :
- Shoot sarees and products (basic product photography)
- Edit photos (crop, color correction)
- Ensure product color matches actual saree
- Maintain daily output targets
- Organize product images properly
Requirements:
- Basic photography skills
- Knowledge of Lightroom / Photoshop
- Attention to detail (color accuracy)
- Speed + consistency
Position Overview: We are seeking a detail-oriented and experienced Senior Accountant to join finance team in abroad countries. The ideal candidate will have a strong background in accounting principles and practices, excellent analytical skills, and the ability to work collaboratively in a fast-paced environment.
Key Responsibilities:
- Prepare and analyze financial statements, ensuring compliance with GAAP and internal policies.
- Oversee month-end and year-end closing processes, including journal entries and account reconciliations.
- Manage accounts payable and receivable functions, ensuring timely and accurate processing.
- Conduct variance analysis and prepare reports for management to support decision-making.
- Assist with budgeting and forecasting activities.
- Ensure the accuracy of financial data and identify areas for improvement in processes and controls.
- Coordinate and assist with internal and external audits.
- Mentor and train junior accounting staff.
- Stay updated on accounting regulations and best practices.
Qualifications:
- Bachelor’s degree in Accounting, Finance, or a related field; CPA or CMA preferred.
- Minimum of [X] years of accounting experience, preferably in a corporate environment.
- Strong understanding of accounting software (e.g., QuickBooks, SAP, Oracle).
- Proficiency in Microsoft Excel and other financial reporting tools.
- Excellent attention to detail and problem-solving skills.
- Strong communication and interpersonal skills.
A Bachelor’s degree in data science, statistics, computer science, or a similar field
2+ years industry experience working in a data science role, such as statistics, machine learning,
deep learning, quantitative financial analysis, data engineering or natural language processing
Domain experience in Financial Services (banking, insurance, risk, funds) is preferred
Have and experience and be involved in producing and rapidly delivering minimum viable products,
results focused with ability to prioritize the most impactful deliverables
Strong Applied Statistics capabilities. Including excellent understanding of Machine Learning
techniques and algorithms
Hands on experience preferable in implementing scalable Machine Learning solutions using Python /
Scala / Java on Azure, AWS or Google cloud platform
Experience with storage frameworks like Hadoop, Spark, Kafka etc
Experience in building &deploying unsupervised, semi-supervised, and supervised models and be
knowledgeable in various ML algorithms such as regression models, Tree-based algorithms,
ensemble learning techniques, distance-based ML algorithms etc
Ability to track down complex data quality and data integration issues, evaluate different algorithmic
approaches, and analyse data to solve problems.
Experience in implementing parallel processing and in-memory frameworks such as H2O.ai
Responsibilities
- In this role, you should be able to work independently with little supervision.
- You should have excellent organization and problem-solving skills.
- If you also have hands-on experience in software development and agile methodologies, we’d like to meet you.
- You will be responsible to develop high-quality software that is aligned with user needs and business goals.
- 5 to 10 years of end-to-end development using Java & UI technology (ReactJS)
- Good knowledge of any relational database).
- Experience in JavaScript along with an OOP language
- Well versed with testing concepts and methodologies
- Agile/Scrum development and full SDLC from development to production deployment.
- Analytical mind with problem-solving aptitude.
- Ability to work independently.
- Excellent written and oral communication skills.




