Senior Machine Learning Engineer - Raleigh, United States - Datafielder

Description

Senior Machine Learning Engineer

DataFielder Inc -

Raleigh, NC

We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization. This is a prime opportunity for a candidate who excels in crafting bespoke and technically complex machine learning solutions. The role will be based in a hybrid work environment in Raleigh, NC, and offers a long-term contract with the potential for significant professional growth.

Key Responsibilities:

Design, develop, and deploy advanced machine learning models and algorithms, leveraging deep learning frameworks such as PyTorch and TensorFlow.

Focus on bespoke solutions involving complex algorithms, including but not limited to embeddings, image segmentation, and various deep learning architectures.

Engage in the entire lifecycle of machine learning projects, from conceptualization and data processing to model development, deployment, and continuous optimization.

Collaborate with cross-functional teams to understand business requirements and translate them into innovative machine learning solutions.

Conduct ongoing research to stay abreast of the latest developments in machine learning, deep learning, and data science, and apply this knowledge to enhance project outcomes.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or a related field.

Minimum of 10 years of experience in machine learning or data science, with a proven track record of developing custom, complex solutions.

Extensive experience with machine learning frameworks like PyTorch and TensorFlow.

Demonstrated ability in designing algorithms from the ground up, as indicated by experience with types of algorithms like Transformers, FCNN, RNN, GRU, Sentence Embedders, and Auto-Encoders, rather than plug-and-play approaches.

Strong coding skills in Python and familiarity with software engineering best practices.

Preferred Skills:

Previous experience as a software engineer, applied mathematician, or in roles involving DevOps, MLOps, Databricks, and Apache Spark is highly regarded.

Ability to communicate complex technical details effectively to stakeholders with varying levels of technical knowledge.

Creative problem-solving skills and a strong analytical mindset.