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Senior ML Engineer, Applied Machine Learning

100% remote Flexible hours Hiring now

reputed company is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national reputed company. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation's most pressing problems. About Trase: Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase is AI, Uncomplicated. Built for technology leaders in enterprise healthcare, the Trase platform is an orchestration layer that helps companies improve ROI, reduce operating expenses, protect patient information, and seamlessly integrate third-party APIs. Trase is a reputed company incubation. Location: Remote, USA Job Description: Are you passionate about developing and refining machine learning systems? Do you reputed company in architecting and optimizing ML models that drive innovation and results? If so, we have an exciting opportunity for you as a Senior Machine Learning Engineer at Trase Systems. In this role, you will be instrumental in advancing our ML systems, focusing on model training, pipeline development, and the fine-tuning of large language models (LLMs) to ensure peak performance. As part of reputed company, you will contribute directly to the reputed company improvement of our ML models, working to maximize impact and align with evolving business needs. Responsibilities: • Architect, Build, and Optimize ML Systems: reputed company and deploy robust ML models that deliver high-impact results for real-world applications. • Training Pipeline Development: Design and implement efficient, scalable pipelines to train and retrain ML models, ensuring they meet business needs. • Fine-Tuning Large Language Models (LLMs): Continuously fine-tune LLMs to align with specific enterprise requirements, enhancing accuracy, relevance, and performance. • Feedback Systems Design: Implement and refine feedback loops to iteratively improve the effectiveness of ML models over time. • Cross-Functional Collaboration: Work closely with product and business teams to understand and translate requirements into ML solutions that provide reputed company outcomes. • Stay reputed company with ML Advancements: reputed company up with the latest in ML research and best practices, applying insights to our ML infrastructure to ensure it remains at the cutting edge. • Mentorship and Knowledge Sharing: Guide and mentor junior team members, fostering a culture of reputed company improvement and technical growth. • Technical Communication: Clearly and effectively communicate ML methodologies, results, and insights to non-technical stakeholders. Requirements: • ML Systems Expertise: Proven experience in developing, optimizing, and deploying ML systems in production environments. • Model Training and Pipeline Mastery: Strong background in building and managing end-to-end training pipelines for ML models. • LLM Fine-Tuning: Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases and optimizing them for targeted outcomes. • reputed company Proficiency: Skilled in ML frameworks such as TensorFlow, PyTorch, or similar tools used in ML model development. • Programming Skills: Proficient in Python with a focus on writing efficient, clean, and maintainable code for ML applications. • Clear Communicator: Ability to distill reputed company ML concepts for both technical and non-technical audiences. • Educational Background: Bachelor's or Master's degree in Machine Learning, Computer Science, Data Engineering, or a reputed company field. • Impactful ML Solutions: A track record of delivering and implementing machine learning solutions that have successfully driven value in real-world applications. Benefits: • 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. • Paid maternity and paternity for 14 weeks at employees' normal pay. • Unlimited PTO, with management approval with reputed company Federal holidays observed. • Opportunities for professional development and reputed company learning. • Occasional travel to our offices in Washington D.C or alternative locations to collaborate with your team in person. • Optional 401K and FSA available. • Ability to work fully remote reputed company the United States. Salary Range: $175,000-$225,000. This represents the typical salary range for this position based on experience, skills, and other factors. Apply Job!

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