Machine Learning Engineer

Summary

Join CloudSEK, a fast-growing cybersecurity product company, as a Machine Learning Engineer - I with 1-2 years of experience. Contribute to the research, development, and deployment of advanced AI/ML solutions and participate in the entire software development lifecycle.

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
• Demonstrable 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

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

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

Benefits

• Flexible working hours
• Food, unlimited snacks and drinks are all available while at office
• 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!