- CloudSEK
XVigil
constantly maps a customer s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support. - A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers attack surfaces. CloudSEKs
BeVigil
uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets. - CloudSEK s Contextual AI
SVigil
identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies.
Key Milestones:
-
2016
: Launched our first product. -
2018
: Secured Pre-series A funding. -
2019
: Expanded operations to India, Southeast Asia, and the Americas. -
2020
: Won the NASSCOM-DSCI Excellence Award for Security Product Company of the Year. -
2021
: Raised $7M in Series A funding led by MassMutual Ventures. -
Awards & Recognition
: Won NetApp Excellerators "Best Growth Strategy Award," CloudSEK XVigil joined NVIDIA Inception Program, and won the NASSCOM Emerge 50 Cybersecurity Award. -
2025
: Secured $19 million in funding led by Tenacity Ventures, Commvault.
Were searching for a Machine Learning Intern to join our innovative team. As a vital contributor to our AI/ML/DL solutions division, youll be instrumental in the complete lifecycle of research, development, and deployment of advanced artificial intelligence and machine learning solutions. Additionally, youll play a pivotal role in crafting automation solutions, harnessing your proficiency in Python programming.
Responsibilities:
- Collaborate closely with interdisciplinary teams to grasp business objectives and translate them into robust AI/ML/DL solutions.
- Conduct research, conceive designs, and execute machine learning models tailored for natural language processing, computer vision, and multi-modal applications.
- Engineer algorithms for efficient data analysis and feature extraction, ensuring optimal performance.
- Participate actively in the entire software development lifecycle, encompassing coding, rigorous testing, seamless deployment, and continuous maintenance of ML solutions.
- Leverage Python as the primary programming language for all development endeavors.
- Stay abreast of the latest advancements in machine learning techniques and algorithms, integrating cutting-edge practices into our solutions.
- Contribute to the development of automation solutions, streamlining operational processes and enhancing efficiency.
- Collaborate closely with data engineers to ensure seamless integration of ML models into production systems.
Requirements:
- Proficiency in Python programming language.
- Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks, etc.)
- Strong knowledge and hands-on experience with prompt engineering, prompt optimization, and Retrieval-Augmented Generation (RAG) techniques for enhancing LLM-based solutions.
- Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution, etc.) along with a knack to imagine new schemas that work for the given data.
- Deep familiarity with leading AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn, and the ability to utilize them effectively in solution development.
- NLP expertise, especially in Language modeling, at-least experience in using pre-trained language models (Transformer /GPT /BERT)
- Basic hands-on experience in databases like Elasticsearch, MongoDB, VectorDBs,etc.
- Strong grasp of natural language processing, computer vision, and multi-modal processing principles.
- Demonstrable experience in building and deploying machine learning models in production environments.
- Sound understanding of software engineering principles and best practices.
- Exceptional problem-solving and analytical skills.
- Ability to thrive in both independent and collaborative work environments.
- Excellent communication and interpersonal abilities.
Preferred Qualifications:
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Proficiency in containerization technologies such as Docker and Kubernetes.
- Familiarity with version control systems such as Git.
- Comprehensive knowledge of deep learning architectures and techniques.
- Prior experience with big data processing frameworks.
- Ability to quickly adapt to new tools and technologies.
Please Note :
- We are currently looking for candidates who can work from the Bangalore office at least 4 days a week (we have 5 days working, Saturday and Sunday off)
- We are looking for candidates who can join us immediately.
