Job summary
Job post source
This job is directly from Eccalon, LLC
Job overview
The Machine Learning Engineer will play a critical role in Eccalon's Machine Learning R&D Team, focusing on developing advanced systems to tackle complex data challenges.
Responsibilities and impact
Daily tasks include dataset creation, data exploration, literature review, model implementation, error characterization, and optimizing models, along with hands-on engineering work such as creating training pipelines and integrating code into a larger system.
Experience and skills
Candidates must have a BS in Computer Science or related field, 3+ years of software development experience in Python, and a strong understanding of Deep Learning and Machine Learning fundamentals, with a history of deploying ML systems.
Company information
Eccalon, LLC specializes in engineering tailored systems for complex data problems, leveraging the latest advancements in Deep Learning and Machine Learning research.
Company overview
Eccalon, LLC is a technology and innovation firm specializing in cybersecurity, advanced research, and software development. They generate revenue through government contracts, private sector partnerships, and proprietary technology solutions. Founded in 2014, Eccalon has established itself as a leader in providing cutting-edge solutions to complex technological challenges, often collaborating with federal agencies and industry leaders to enhance national security and operational efficiency. Their expertise spans across various domains including artificial intelligence, data analytics, and critical infrastructure protection.
How to land this job
Position your resume to showcase your expertise in Machine Learning and Deep Learning, emphasizing your experience with Python and your ability to work on complex data-related problems.
Highlight your familiarity with the classical Machine Learning workflow, and provide examples of your experience in dataset creation, data wrangling, and model optimization, as these are key responsibilities for the role.
Apply through multiple platforms, including Eccalon's corporate site and LinkedIn, to maximize your chances of being noticed by the hiring team.
Connect with professionals in Eccalon's Machine Learning R&D Team on LinkedIn, and consider ice breakers like asking about their favorite projects or insights on current trends in Machine Learning.
Optimize your resume for ATS by incorporating keywords from the job description, such as 'Deep Learning', 'data exploration', 'model optimization', and 'AWS/GCP', to ensure your application passes initial screenings.
Utilize Jennie Johnson's Power Apply feature to automate the application process, allowing you to focus on networking and preparing for interviews while ensuring your application is tailored and effectively submitted.
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