Business Analyst

Location: Gurugram, India

Duration: 3 Months

Job Summary:

We are seeking a highly motivated OSINT Analyst Intern with a potential Pre-Placement Offer (based on performance) to join our Cyber Intelligence Team. The role focuses on gathering, analyzing, and reporting on publicly available data to support cyber investigations, threat intelligence, and profiling tasks. Ideal for individuals passionate about intelligence gathering, social media analysis, and digital profiling.

Responsibilities:

• Perform open-source intelligence (OSINT) investigations using usernames, emails, phone numbers, and social media footprints.
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• Conduct deep-dive investigations using breach data and leaked credential sets.
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• Utilize Google Dorking techniques to extract sensitive or hidden data from public sources.
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• Perform social media intelligence (SOCMINT) to analyze behavioral patterns, networks, and digital presence.
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• Investigate mobile numbers using OSINT tools to identify user identities and digital trails.
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• Assist in email-based investigations, including tracing sources, compromise checks, and breach analysis.
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• Maintain strict operational security (OPSEC) during intelligence collection and investigations.
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• Support the generation of intelligence reports, profiling documents, and threat landscape summaries.
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• Stay updated on geopolitical issues, regional conflicts, and their cybersecurity implications (preferred).
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Required Skills:

• Strong understanding of OSINT techniques and investigation workflows
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• Google Dorking and advanced search operators
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• Email investigation tools and methodologies
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• Mobile number tracing and identification using OSINT platforms
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• Social Media Intelligence (SOCMINT) across platforms like Facebook, Twitter, LinkedIn, Telegram, and others
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• Experience in breach data investigation (HaveIBeenPwned, dehashed, breach compilation analysis)
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• Knowledge of Operational Security (OPSEC) for safe investigation practices
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• Ability to create detailed and structured intelligence reports
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• Bonus: Geopolitical awareness and understanding of how global events impact cyber threats.

• BS in CS or EE or equivalent
• Experience working on large scale systems in rapid growth environments
• Experience with public cloud offerings (AWS, GCP, Azure)
• Solid programming skills; preferred experience in Java, and/or Python
• Experience with modern web frameworks, advanced algorithms/data intelligence, public
• cloud platforms and streaming data pipelines
• Familiarity with containerization, microservices architecture, continuous integration, and delivery
• 5+ years’ experience preferred

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511