Trase Systems
Senior ML Engineer, Applied Machine Learning - (Security Clearance)
Trase Systems, Mc Lean, Virginia, us, 22107
Senior ML Engineer, Applied Machine Learning - Security Clearance
McLean, VA Overview
About Us:
Trase Systems is AI, Uncomplicated. Co-founded in 2023 by Joe Laws and Grant Verstandig, 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, specializing in bridging the “last mile” of AI adoption and unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of
AI Agent
innovation, with a focus on mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security. About Trase
Trase Systems is AI, Uncomplicated. We provide an end-to-end solution for deploying, managing, and optimizing AI in the enterprise, bridging the “last mile” of AI adoption, unlocking AI's full potential, and driving efficiency and cost savings. Role & Location
Location:
McLean, VA Clearance:
Active Secret or Top Secret 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 with product and business teams to translate requirements into ML solutions with tangible outcomes. Stay Current with ML Advancements:
Keep up with the latest ML research and best practices, applying insights to our ML infrastructure to stay on 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 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 driven value in real-world applications. Clearance:
Active Secret or Top Secret Compensation & Benefits:
Salary Range: $175,000-$225,000. This represents the typical salary range for this position based on experience, skills, and other factors. Equal Opportunity:
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 Overview
About Us:
Trase Systems is AI, Uncomplicated. Co-founded in 2023 by Joe Laws and Grant Verstandig, 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, specializing in bridging the “last mile” of AI adoption and unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of
AI Agent
innovation, with a focus on mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security. About Trase
Trase Systems is AI, Uncomplicated. We provide an end-to-end solution for deploying, managing, and optimizing AI in the enterprise, bridging the “last mile” of AI adoption, unlocking AI's full potential, and driving efficiency and cost savings. Role & Location
Location:
McLean, VA Clearance:
Active Secret or Top Secret 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 with product and business teams to translate requirements into ML solutions with tangible outcomes. Stay Current with ML Advancements:
Keep up with the latest ML research and best practices, applying insights to our ML infrastructure to stay on 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 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 driven value in real-world applications. Clearance:
Active Secret or Top Secret Compensation & Benefits:
Salary Range: $175,000-$225,000. This represents the typical salary range for this position based on experience, skills, and other factors. Equal Opportunity:
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.
#J-18808-Ljbffr