Senior Machine Learning Engineer

Found in: beBee S US - 2 weeks ago


Raleigh, United States DataFielder Inc Full time

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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