Machine Learning Enginee at Machine Learning Engineer

Job description

• 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 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.

ABOUT THE ROLE

• Were seeking for a Machine Learning Engineer - I with 0-2 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

Required skills

• 0-2 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.
• 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

• Flexible working hours.
• Generous medical insurance cover for yourself and your family/dependents.
• Food, unlimited snacks and drinks are all available while at office.

Role: Machine Learning Engineer

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate