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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.
Full Time
$112k-144k (estimate)
05/04/2024
07/03/2024
The job skills required for Senior Machine Learning Engineer include Machine Learning, Algorithms, Python, Deep Learning, Computer Science, Data Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Senior Machine Learning Engineer, it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Machine Learning Engineer. You can explore the career advancement for a Senior Machine Learning Engineer below and select your interested title to get hiring information.