Machine Learning Lead at CloudSEK

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Artificial Intelligence, TensorFlow, PyTorch, Transformers, LoRA, PEFT, AWS Bedrock, SageMaker, Model Context Protocol, Agent-to-Agent Protocol, Cross-Functional Collaboration, Rapid Delivery, Product Experience, Execution, Leadership

Industry

Computer and Network Security

Description

WHO ARE WE? We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy! CloudSEK, one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention. Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including: CloudSEK’s Product Suite: 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. CloudSEK's 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 Excellerator's "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. Responsibilities Team Leadership: Lead and mentor a team of ML engineers, providing architectural direction, technical guidance, and reviews while contributing hands-on as an individual contributor (IC). LLM System Development: Design, build, and deploy LLM-based applications leveraging prompt engineering, zero/few-shot classification, and context optimization for production. Model Training & Optimization: Drive training, fine-tuning, and scaling of in-house LLMs/SLMs, including LoRA and PEFT-based fine-tuning approaches for efficient adaptation and deployment. Infrastructure & Pipelines: Architect and manage scalable ML pipelines and Agentic AI Architecture: Develop and manage agent orchestrators, integrating protocols such as MCP (Model Context Protocol), A2A (Agent-to-Agent Protocol) etc. Cross-Functional Collaboration: Partner with research, product, and platform teams to transition prototypes into robust production systems. Rapid Delivery: Execute quickly and effectively, ensuring timely delivery of production-ready, high-impact AI systems. Requirements: Hands-on & Technical Execution: Strong proficiency in TensorFlow, PyTorch, Transformers, and vLLM. Hands-on experience with LoRA and PEFT techniques. Familiarity with LLMs, RLHF, and AI agent orchestration. Cloud & Infra: Proficient in AWS Bedrock, SageMaker, and queuing systems for large-scale ML training, deployment, and streaming pipelines. Leadership & Strategy: Product Experience: Demonstrated ability to build and ship ML-driven products end-to-end, from concept and experimentation to production. Execution: Strong ability to move fast, prioritize effectively, and deliver reliable systems in a high-paced, evolving environment. Leadership: Proven experience leading or mentoring ML engineers or small technical teams. Benefits of Joining CloudSEK We provide an environment where you can develop and enhance your skills while delivering meaningful work that matters. You’ll be rewarded a competitive salary as well as a full spectrum of generous perks and incentives which include: Flexible working hours. Food, unlimited snacks and drinks are all available while at office. And, the finest part is yet to come! Every now and then we ensure to unwind and have a good time together, which involves games, fun, and soulful music. Feel free to show off your artistic side here!

Responsibilities

Lead and mentor a team of ML engineers while contributing hands-on as an individual contributor. Design, build, and deploy LLM-based applications and manage scalable ML pipelines.