Senior Data Engineer - Applied Machine Learning

October 3

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Red Cell Partners

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Description

•About Us •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. •Location: Remote, USA •Company Overview: Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. •Job Description: Are you passionate about driving innovation through machine learning? Do you thrive in building and optimizing ML systems? •As a Data Engineer specializing in Applied Machine Learning, you will be at the forefront of driving the development and optimization of our ML systems. •You will play a crucial role in training ML models, building training pipelines, fine-tuning Language Models (LLMs), and designing feedback systems to continuously improve their performance. •If you're a forward-thinking, technically adept individual with a passion for machine learning, this role is for you. •Responsibilities: Participate in architecting, building, and optimizing ML systems to deliver high-quality, real-world results. •Design and implement robust training pipelines for machine learning models, ensuring efficiency and scalability. •Fine-tune Language Models (LLMs) to meet specific business needs and optimize their performance for various applications. •Develop and implement feedback mechanisms to continuously improve the accuracy and effectiveness of LLMs. •Collaborate with cross-functional teams to understand business requirements and translate them into actionable ML solutions. •Stay up-to-date with the latest advancements in machine learning and implement best practices to enhance our ML infrastructure. •Coach and mentor junior data engineers, fostering a culture of continuous learning and growth within the team. •Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.

Requirements

•Proven experience with ML system development and optimization. •Demonstrated expertise in training ML models and building robust training pipelines. •Extensive knowledge of fine-tuning Language Models (LLMs) to achieve desired outcomes. •Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or similar. •Proficiency in programming languages like Python or Go, and the ability to write efficient, clean, and maintainable code. •Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences. •A Bachelor's or Master's degree in Computer Science, Machine Learning, Data Engineering, or a related field. •A track record of delivering impactful machine learning solutions that have been successfully deployed 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 all Federal holidays observed. •Opportunities for professional development and continued 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 within the United States.