Red Cell Partners
Senior AI/ML Engineer, Applied Machine Learning - (Security Clearance)
Red Cell Partners, Mc Lean, Virginia, us, 22107
Senior AI/ML Engineer, Applied Machine Learning - (Security Clearance)
McLean, VA Red Cell Partners 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 security. Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. About the Role Location: McLean, VA Active Secret or Top Secret Clearance We are looking for a Senior Machine Learning Engineer to advance our ML systems, focusing on model training, pipeline development, and the fine-tuning of large language models (LLMs) to ensure peak performance. Responsibilities: Architect, Build, and Optimize ML Systems: Develop 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 tangible outcomes. Stay Current with ML Advancements: Keep 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 continuous 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. Framework 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 complex 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 related field. Impactful ML Solutions: A track record of delivering and implementing machine learning solutions that have successfully driven value in real-world applications. Active Secret or Top Secret Clearance Benefits include career track opportunity with potential for rapid advancement, 100% employer paid comprehensive health care, paid maternity and paternity leave, unlimited PTO, opportunities for professional development, and optional 401K, FSA, and equity incentives. Salary Range: $175,000-$225,000. We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
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McLean, VA Red Cell Partners 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 security. Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. About the Role Location: McLean, VA Active Secret or Top Secret Clearance We are looking for a Senior Machine Learning Engineer to advance our ML systems, focusing on model training, pipeline development, and the fine-tuning of large language models (LLMs) to ensure peak performance. Responsibilities: Architect, Build, and Optimize ML Systems: Develop 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 tangible outcomes. Stay Current with ML Advancements: Keep 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 continuous 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. Framework 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 complex 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 related field. Impactful ML Solutions: A track record of delivering and implementing machine learning solutions that have successfully driven value in real-world applications. Active Secret or Top Secret Clearance Benefits include career track opportunity with potential for rapid advancement, 100% employer paid comprehensive health care, paid maternity and paternity leave, unlimited PTO, opportunities for professional development, and optional 401K, FSA, and equity incentives. Salary Range: $175,000-$225,000. We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
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