AI/ML Engineer

October 21

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Description

• As a AI and Machine Learning Engineer, you will play a pivotal role in our AI initiatives, supporting the development of advanced models and contributing to data pre processing. • Collaborating closely with cross-functional teams, you will assist in experimenting with model architectures, adhering to ML engineering best practices, and staying updated with the latest AI research. • Development and deployment of AI models, focusing on techniques like BERT, GPT, and Transformers architecture for the approved requirements. • Support the utilization of pre-trained models from libraries like Hugging Face for specific tasks and domains. • Contribute to data pre processing, aiding in feature extraction and dataset preparation for training and testing. • Collaborate within cross-functional teams to define project goals and assist in meeting project requirements. • Aid in applying machine learning principles, algorithms, and methodologies in project contexts. • Assist in the implementation and optimization of graph neural network models like GraphSAGE and VGAE. • Support the exploration of various model architectures, hyperparameters, and techniques to improve performance. • Contribute to best practices in machine learning engineering, including model versioning, testing, and documentation. • Work with Python, and relevant libraries (NumPy, Pandas, etc.), showcasing problem-solving skills within a fast-paced, collaborative environment. • Convey complex technical concepts effectively to non-technical stakeholders.

Requirements

• 2-3 years of experience as a Machine Learning Engineer, emphasizing Python proficiency and NLP techniques. • Strong software development exp. in Java, Spring boot, Python, JavaScript • Very good exp. in SDLC and MLOps • Familiarity with deep learning frameworks like TensorFlow or PyTorch. • Exposure to generative models (BERT, GPT, Transformers) and Hugging Face models. • Basic understanding of graph neural network models and related architectures. • Strong grasp of machine learning fundamentals and methodologies. • Proficiency in Python programming language, with experience in NumPy, Pandas, etc. • Excellent problem-solving abilities and adaptability in a collaborative setting. • Strong verbal and written communication skills.