Senior Machine Learning Engineer

Unclassified - Raleigh, NC

Full-time - Senior

Hybrid - Raleigh, NC

About the position

DataFielder Inc is actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization. This role presents a prime opportunity for a candidate who excels in crafting bespoke and technically complex machine learning solutions. The position will be based in a hybrid work environment in Raleigh, NC, and offers a long-term contract with the potential for significant professional growth. In this role, the Senior Machine Learning Engineer will be responsible for designing, developing, and deploying advanced machine learning models and algorithms. The candidate will leverage deep learning frameworks such as PyTorch and TensorFlow to create bespoke solutions involving complex algorithms, including but not limited to embeddings, image segmentation, and various deep learning architectures. The engineer will engage in the entire lifecycle of machine learning projects, from conceptualization and data processing to model development, deployment, and continuous optimization. Collaboration is key in this position, as the engineer will work with cross-functional teams to understand business requirements and translate them into innovative machine learning solutions. Additionally, the role requires ongoing research to stay abreast of the latest developments in machine learning, deep learning, and data science, applying this knowledge to enhance project outcomes.

Responsibilities

• Design, develop, and deploy advanced machine learning models and algorithms using deep learning frameworks such as PyTorch and TensorFlow.
• Focus on bespoke solutions involving complex algorithms, including 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.

Requirements

• 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, with experience in algorithms like Transformers, FCNN, RNN, GRU, Sentence Embedders, and Auto-Encoders.
• Strong coding skills in Python and familiarity with software engineering best practices.

Nice-to-haves

• 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.