Machine Learning Engineer
Machine Learning Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Please Note: As of July 22 2021 our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn.
Kforce has a client that seeking a Machine Learning Engineer in Fremont CA 5 days onsite per week for a 6 months contract to hire opportunity. As a Machine Learning Engineer you will tackle complex and ambiguous business and operational problems by designing and implementing end-to-end machine learning solutions. You will leverage your expertise in Python deep learning frameworks and algorithm optimization to build robust production-ready models that drive real-world impact.
Responsibilities:
* Translate loosely defined problems into actionable ML solutions by clarifying requirements designing approaches and selecting the right algorithms and architectures (e.g. supervised learning CNNs)
* Design implement and train machine learning models using frameworks such as PyTorch and TensorFlow and utilize data tools like Pandas for preprocessing and analysis
* Handle large heterogeneous and multimodal datasets - including images multi-spectral sensor outputs voice text and tabular data - and develop preprocessing strategies to make data usable for ML models
* Collaborate with cross-functional teams including production process controls and quality to understand operational challenges and design ML solutions that integrate seamlessly into existing workflows
* Own and maintain production models establishing alerting and monitoring systems to ensure reliability and quickly resolve any issues
* Optimize algorithms for performance using techniques such as quantization pruning and TensorRT conversion and work in embedded or firmware-integrated contexts leveraging C when needed
* Apply strong theoretical foundations in linear algebra geometry probability theory numerical optimization and statistics to design models evaluate feasibility and rigorously assess performance
* Write clean modular and maintainable code to ensure ML solutions are scalable sustainable and easily transitioned from research to production
Required Skills : * Proven experience rapidly prototyping and optimizing algorithms for high-performance data-intensive applications * In-depth expertise in Python with desirable proficiency in C for integration with embedded systems or firmware * Hands-on experience with modern deep learning frameworks (PyTorch TensorFlow) * Strong foundation in mathematics statistics and optimization techniques for model development and assessment * Proven track record deploying and maintaining production machine learning solutions * Passion for writing clean sustainable and modular code
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
Rank :B1
Requested Date :
Employment Type
Full-time
