CloudSEK is hiring a
Machine Learning Engineer in India

Summary

The job is for a Machine Learning Engineer - I with 0-2 years of experience at CloudSEK, a cybersecurity product company. The role involves contributing to AI/ML solutions and working on the complete lifecycle of research, development, and deployment. The candidate should have proficiency in Python programming, mathematical techniques involved in ML and DL schemas, state-of-the-art DL concepts, leading AI/ML frameworks, NLP expertise, databases, software engineering principles, problem-solving skills, and excellent communication abilities.

Requirements

• 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
• Can work from the Bangalore office at least 4 days a week (we have 5 days working, Saturday and Sunday off)
• Can join immediately

Responsibilities

Contribute to the AI/ML/DL solutions division and work on the complete lifecycle of research, development, and deployment of advanced artificial intelligence and machine learning solutions

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

Benefits

• Flexible working hours
• Generous medical insurance cover for yourself and your family/dependents
• Food, unlimited snacks and drinks are all available while at office
• Occasional games, fun, and soulful music events