Senior Machine Learning Engineer - Raleigh, United States - DataFielder Inc

Description

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.

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