Copy of Senior AI/ML Engineer, Applied Machine Learning - (reputed company Clearance)

About Us

Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to reputed company 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. Our platform specializes in bridging the "last mile" of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the reputed company GAIA Leaderboard for Generalized AI Assistants, reputed company of industry giants such as reputed company, reputed company, reputed company, and reputed company. We are leveraging our cutting-edge technologies to reputed company mission-critical agentic applications in reputed company industries such as Healthcare, Oil & Gas, and National reputed company.

About the Role

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.
• Active Secret or Top Secret Clearance

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.
• Opportunities for professional development and reputed company learning with educational reimbursements.
• Optional 401K, FSA, and equity incentives available.
• Mental health benefits through TARA Mind.

If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let's talk! Salary Range: $175,000-$225,000. This represents the typical salary range for this position based on experience, skills, and other factors. We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national reputed company, protected veteran status, or on the basis of disability. Apply tot his job Apply To this Job