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Senior Machine Learning Engineer / Pytorch / Tensorflow / AI image - Rise Careers
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Senior Machine Learning Engineer / Pytorch / Tensorflow / AI

Job DescriptionOur client is a mid-sized software and analytics company dedicated to revolutionizing the way the federal government delivers software solutions. They are seeking motivated professionals to support impactful civic technology initiatives within the federal government.As a Senior AI/ML Engineer, you will play a crucial role in evaluating and integrating cutting-edge technologies. You will guide the team through prototyping and proof-of-concept development, assessing the benefits and risks of new tech solutions. In addition to leading technology adoption across the organization, you'll provide mentorship and leadership to junior IT specialists.Our client is based out of Silver Spring, Maryland but this position is fully remote.Client Requirements:• Public Trust clearance or US Citizenship and the ability to obtain said clearanceKey Responsibilities:• Lead technology evaluation efforts through prototypes and proof-of-concepts• Analyze and communicate the pros and cons of new tech solutions• Perform roles as a developer, operations, and security engineer in cloud environments• Drive enterprise-wide adoption of innovative technologies• Mentor and provide leadership to junior IT team membersRequired Qualifications/Skills:• Bachelor’s Degree or higher in Computer Science, Data Science, Data Analytics, Mathematics, Statistics, or similar• 7+ years of relevant experience• Proficiency in Python, machine learning frameworks (e.g., TensorFlow, PyTorch), data manipulation with pandas, and experience with cloud platforms (AWS, Google Cloud, Azure)• Strong communication and problem-solving skillsBenefits:• Remote work opportunitiy• Competitive compensation• Medical, dental, and vision coverage• Life insurance and short/long-term disability• Employee Assistance Program• 401(k) with 4% employer match• Generous PTO policy• Annual continuing education and wellness budget• Bonus incentives (including employee referrals and performance-based rewards)• *Applicants must be currently authorized to work in the US on a full-time basis now and in the future.**#LI-LT2
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Within the IT landscape, change is constant. Emerging new tech trends, project shifts, mergers and acquisitions, and even macroeconomic influences can all make planning for your team’s expansion or your own tech career, well, overwhelming. We und...

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Full-time, remote
DATE POSTED
September 28, 2024

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