AI/ML Engineer

Job 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.

RESPONSIBILITIES:

· 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.

QUALIFICATION

· Bachelors or masters degree in computer science, Engineering, or a related field.

Compensation$2000-4000