Machine Learning Engineer
3 months ago
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:
Launch of our first product in 2016.
Earning our pre-series A funding in 2018.
Receiving multiple awards including the prestigious Excellence Award for being the Security Product Company of the Year in 2020.
Receiving the Series A funding from MassMutual Ventures in 2021 with a total investment of $10million.
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 BVigil 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.
JD:
We're searching for a Machine Learning Engineer - I with 1-2 years of experience to join our innovative team. As a vital contributor to our AI/ML/DL solutions division, you'll be instrumental in the complete lifecycle of research, development, and deployment of advanced artificial intelligence and machine learning solutions. Additionally, you'll 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:
1-2 years of professional experience in machine learning engineering or a related role.
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.)
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.
Proven experience in developing and deploying computer vision applications using deep learning techniques with strong understanding of vision algorithms, including object detection, image classification, semantic segmentation, YOLO, Faster R-CNN, SSD, Vision Transformers, etc.
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.
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.
Generous medical insurance cover for yourself and your family/dependents.
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
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