Sr.Machine Learning Engineer

Responsibilities:

● Development of Advanced ML Models: Take part in the development and training of advanced machine learning models, with a focus on large language models (LLMs) and optical character recognition (OCR) across various data modalities. Utilize Python and Pandas to make significant contributions to our interdisciplinary projects.
● Optimization and MLOps Application: Assist in refining our codebase and adopting MLOps practices to enhance the machine learning lifecycle across modalities, from data preparation to deployment and monitoring. Develop and implement strategies to manage the machine learning lifecycle for seamless integration of AI and ML models within the data warehouse.
● Interdisciplinary Model Integration: Collaborate with data engineers and data scientists to ensure data quality and model accuracy. text and vision, into our application ecosystem. Focus on enhancing performance and scalability under the guidance of senior leadership.

Required Qualifications:
● Deep Learning Expertise Across Modalities: Strong knowledge and experience with deep learning algorithms such as RCNN, LSTM, and Transformers, particularly applied to various modalities like text and vision.
● Experience with Interdisciplinary CV and NLP Models: Demonstrated experience working with machine learning models in computer vision and NLP, showcasing the ability to tackle complex, interdisciplinary problems through innovative ML solutions.
● MLOps Platforms Proficiency: Familiarity with MLOps platforms such as AWS SageMaker, Databricks, and Weights & Biases, with a competency in leveraging these tools to streamline the ML lifecycle across various data modalities.
● Coding Proficiency and Best Practices: Experience in writing clean, efficient code following Object-Oriented Programming (OOP) principles and coding best practices, with a proven ability to navigate and contribute to complex codebases.
● Proficiency in Python, SQL, and relevant data warehouse technologies (e.g., Snowflake, Redshift, BigQuery).

Preferred Qualifications:

● Document Processing Expertise: Experience with technologies related to PDFs, Document AI models, and OCR is highly valued, particularly in the context of processing and analyzing information across different modalities.
● In this role, you’ll be a key player in driving the development and optimization of our interdisciplinary machine learning projects, spanning various modalities such as text and vision.