The Grace Hopper Program at Fullstack Academy

Design, develop, and deploy machine learning models for fintech applications while collaborating with cross-functional teams and mentoring junior engineers. | 5+ years of machine learning engineering experience with proficiency in Python, ML frameworks, cloud platforms, and strong communication skills. | Job Title: Sr Machine Learning Engineer - Fintech Foundation (100% Remote - USA) Company Overview: The Grace Hopper Program at Fullstack Academy is a leading coding bootcamp dedicated to empowering women and non-binary individuals in technology. We focus on delivering high-quality education and fostering inclusive communities to bridge the gender gap in tech. Our Fintech Foundation initiative is expanding rapidly, aiming to innovate financial technology solutions through cutting-edge machine learning applications. Role Overview: As a Sr Machine Learning Engineer on our Fintech Foundation team, you will play a pivotal role in designing and implementing advanced machine learning models that drive our fintech products. You will collaborate with cross-functional teams to develop scalable, data-driven solutions that enhance financial services and user experiences. What You'll Do: - You will design, develop, and deploy machine learning models tailored to fintech applications. - You will analyze large datasets to extract actionable insights and improve model performance. - You will collaborate with data scientists, engineers, and product managers to integrate ML solutions into production. - You will optimize algorithms for scalability, accuracy, and efficiency in a fast-paced environment. - You will mentor junior engineers and contribute to best practices in ML engineering. - You will stay current with the latest ML research and fintech trends to inform development. - You will participate in code reviews and ensure high-quality, maintainable code. - You will troubleshoot and resolve issues related to ML systems in production. What You Bring: - 5+ years of experience in machine learning engineering, preferably in fintech or related fields. - Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn. - Strong understanding of data structures, algorithms, and software engineering principles. - Experience with cloud platforms like AWS, GCP, or Azure for deploying ML models. - Solid background in statistics, data analysis, and model evaluation techniques. - Excellent communication skills and ability to work effectively in remote, cross-functional teams. Bonus Points If You Have: - Experience with natural language processing (NLP) and time-series analysis. - Knowledge of financial regulations and compliance standards. - Familiarity with containerization tools like Docker and orchestration with Kubernetes. - Contributions to open-source ML projects or publications in relevant fields. What We Offer: - We offer a fully remote work environment with flexible hours to support work-life balance. - We offer competitive salary and comprehensive health benefits including medical, dental, and vision. - We offer professional development opportunities including conferences, courses, and certifications. - We offer a collaborative and inclusive culture that values diversity and innovation. - We offer access to cutting-edge tools and technologies to empower your work. Ready to Apply? To apply for the Sr Machine Learning Engineer - Fintech Foundation role, please submit your resume and a cover letter detailing your relevant experience and interest in fintech to our careers portal at www.gracehopper.fullstackacademy.com/careers. We look forward to hearing from you!

Design, develop, and deploy machine learning models for fintech applications while collaborating with cross-functional teams and mentoring junior engineers. | 5+ years of machine learning engineering experience with proficiency in Python, ML frameworks, cloud platforms, and strong communication skills. | Job Title: Sr Machine Learning Engineer - Fintech Foundation (100% Remote - USA) Company Overview: The Grace Hopper Program at Fullstack Academy is a leading coding bootcamp dedicated to empowering women and non-binary individuals in technology. We focus on delivering high-quality education and fostering inclusive communities to bridge the gender gap in tech. Our Fintech Foundation initiative is expanding rapidly, aiming to innovate financial technology solutions through cutting-edge machine learning applications. Role Overview: As a Sr Machine Learning Engineer on our Fintech Foundation team, you will play a pivotal role in designing and implementing advanced machine learning models that drive our fintech products. You will collaborate with cross-functional teams to develop scalable, data-driven solutions that enhance financial services and user experiences. What You'll Do: - You will design, develop, and deploy machine learning models tailored to fintech applications. - You will analyze large datasets to extract actionable insights and improve model performance. - You will collaborate with data scientists, engineers, and product managers to integrate ML solutions into production. - You will optimize algorithms for scalability, accuracy, and efficiency in a fast-paced environment. - You will mentor junior engineers and contribute to best practices in ML engineering. - You will stay current with the latest ML research and fintech trends to inform development. - You will participate in code reviews and ensure high-quality, maintainable code. - You will troubleshoot and resolve issues related to ML systems in production. What You Bring: - 5+ years of experience in machine learning engineering, preferably in fintech or related fields. - Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn. - Strong understanding of data structures, algorithms, and software engineering principles. - Experience with cloud platforms like AWS, GCP, or Azure for deploying ML models. - Solid background in statistics, data analysis, and model evaluation techniques. - Excellent communication skills and ability to work effectively in remote, cross-functional teams. Bonus Points If You Have: - Experience with natural language processing (NLP) and time-series analysis. - Knowledge of financial regulations and compliance standards. - Familiarity with containerization tools like Docker and orchestration with Kubernetes. - Contributions to open-source ML projects or publications in relevant fields. What We Offer: - We offer a fully remote work environment with flexible hours to support work-life balance. - We offer competitive salary and comprehensive health benefits including medical, dental, and vision. - We offer professional development opportunities including conferences, courses, and certifications. - We offer a collaborative and inclusive culture that values diversity and innovation. - We offer access to cutting-edge tools and technologies to empower your work. Ready to Apply? To apply for the Sr Machine Learning Engineer - Fintech Foundation role, please submit your resume and a cover letter detailing your relevant experience and interest in fintech to our careers portal at www.gracehopper.fullstackacademy.com/careers. We look forward to hearing from you!

Design, develop, and deploy machine learning models for fintech applications while collaborating with cross-functional teams and mentoring junior engineers. | 5+ years of machine learning engineering experience with proficiency in Python, ML frameworks, cloud platforms, and strong communication skills. | Job Title: Sr Machine Learning Engineer - Fintech Foundation (100% Remote - USA) Company Overview: The Grace Hopper Program at Fullstack Academy is a leading coding bootcamp dedicated to empowering women and non-binary individuals in technology. We focus on delivering high-quality education and fostering inclusive communities to bridge the gender gap in tech. Our Fintech Foundation initiative is expanding rapidly, aiming to innovate financial technology solutions through cutting-edge machine learning applications. Role Overview: As a Sr Machine Learning Engineer on our Fintech Foundation team, you will play a pivotal role in designing and implementing advanced machine learning models that drive our fintech products. You will collaborate with cross-functional teams to develop scalable, data-driven solutions that enhance financial services and user experiences. What You'll Do: - You will design, develop, and deploy machine learning models tailored to fintech applications. - You will analyze large datasets to extract actionable insights and improve model performance. - You will collaborate with data scientists, engineers, and product managers to integrate ML solutions into production. - You will optimize algorithms for scalability, accuracy, and efficiency in a fast-paced environment. - You will mentor junior engineers and contribute to best practices in ML engineering. - You will stay current with the latest ML research and fintech trends to inform development. - You will participate in code reviews and ensure high-quality, maintainable code. - You will troubleshoot and resolve issues related to ML systems in production. What You Bring: - 5+ years of experience in machine learning engineering, preferably in fintech or related fields. - Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn. - Strong understanding of data structures, algorithms, and software engineering principles. - Experience with cloud platforms like AWS, GCP, or Azure for deploying ML models. - Solid background in statistics, data analysis, and model evaluation techniques. - Excellent communication skills and ability to work effectively in remote, cross-functional teams. Bonus Points If You Have: - Experience with natural language processing (NLP) and time-series analysis. - Knowledge of financial regulations and compliance standards. - Familiarity with containerization tools like Docker and orchestration with Kubernetes. - Contributions to open-source ML projects or publications in relevant fields. What We Offer: - We offer a fully remote work environment with flexible hours to support work-life balance. - We offer competitive salary and comprehensive health benefits including medical, dental, and vision. - We offer professional development opportunities including conferences, courses, and certifications. - We offer a collaborative and inclusive culture that values diversity and innovation. - We offer access to cutting-edge tools and technologies to empower your work. Ready to Apply? To apply for the Sr Machine Learning Engineer - Fintech Foundation role, please submit your resume and a cover letter detailing your relevant experience and interest in fintech to our careers portal at www.gracehopper.fullstackacademy.com/careers. We look forward to hearing from you!

Design, develop, deploy, and optimize machine learning models for fintech applications while collaborating with cross-functional teams and mentoring junior engineers. | 5+ years of machine learning engineering experience with proficiency in Python, ML frameworks, cloud platforms, and strong problem-solving skills. | Job Title: Sr Machine Learning Engineer - Fintech Foundation (100% Remote - USA) Company Overview: The Grace Hopper Program at Fullstack Academy is a leading coding bootcamp dedicated to empowering women and non-binary individuals in technology. We are committed to fostering diversity and inclusion while providing top-tier education and career opportunities in software engineering and data science. Role Overview: As a Sr Machine Learning Engineer on our Fintech Foundation team, you will play a pivotal role in developing and deploying advanced machine learning models that drive innovation in financial technology. This role is fully remote and offers the chance to work with a passionate team focused on transforming fintech solutions. What You'll Do: - You will design, develop, and implement scalable machine learning models tailored for fintech applications. - You will collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate ML solutions. - You will analyze large datasets to extract actionable insights and improve model performance. - You will lead the deployment and monitoring of ML models in production environments. - You will mentor junior engineers and contribute to best practices in ML engineering. - You will stay current with the latest advancements in machine learning and fintech technologies. - You will troubleshoot and optimize existing ML systems to enhance efficiency and accuracy. What You Bring: - 5+ years of experience in machine learning engineering, preferably within fintech or related industries. - Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn. - Strong understanding of data structures, algorithms, and software engineering principles. - Experience with cloud platforms like AWS, GCP, or Azure for deploying ML models. - Excellent problem-solving skills and the ability to work independently in a remote setting. Bonus Points If You Have: - Experience with natural language processing (NLP) and time-series analysis. - Familiarity with containerization tools such as Docker and Kubernetes. - Background in financial services or regulatory compliance. - Contributions to open-source ML projects or publications. What We Offer: - We offer a fully remote work environment with flexible hours to support work-life balance. - We offer competitive salary and comprehensive health benefits. - We offer opportunities for professional growth and continuous learning. - We offer a collaborative and inclusive company culture that values diversity. - We offer access to cutting-edge tools and technologies in the fintech space. Ready to Apply? To apply, please submit your resume and a cover letter detailing your experience and interest in the Sr Machine Learning Engineer role at The Grace Hopper Program at Fullstack Academy. We look forward to hearing from you!