Senior Machine Learning Engineer

Senior Machine Learning Engineer The Opportunity: As a seasoned engineer, you are aware of the crucial role of machine learning in understanding and processing massive data sets. Your skill in performing statistical analyses on business procedures using machine learning methods makes you an essential part of delivering a customer-oriented solution. We require your technical competence and problem-solving desire to support the creation of a sophisticated prediction model that utilizes medical imaging data. As a machine learning engineer on our AI Radiology team, you'll train, test, deploy, and support models that learn from the data. In this role, you'll define the direction of mission-critical solutions by applying best-fit machine learning algorithms and technologies. You will be part of a vast community of machine learning engineers and will collaborate with clinicians, data scientists, and product owners to deliver world-class solutions. You will train, test, and deploy sophisticated statistical and machine learning models that modernize patients' risk-stratification. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the world of machine learning algorithms, tools, and frameworks. Join us to solve real-world challenges and establish machine learning strategies for our federal clients. Come make a change with us. Requirements: - 4+ years of experience in machine learning engineering, data engineering, or data researcher roles, including professional or academic environment. - Experience in Computer Vision. - Experience with machine learning frameworks such as Tensorflow or PyTorch. - Experience designing and developing machine learning algorithms, pipelines, and systems. - Experience in common data analytics and programming languages, including Python. - Knowledge of state-of-the-art Machine Learning methods. - Ability to obtain and maintain a Public Trust or Fitness determination based on client requirements. - Bachelor's degree. Nice to Have: - 1+ years of experience in software development. - Experience working with clinical data. - Experience working collaboratively with teams on code. - Ability to communicate advanced Machine Learning concepts to a clinical audience. - Bachelor's degree in Machine Learning, Data Science, Computer Science, or a related field. Investigation: The selected candidates will be examined by the government and may need to satisfy the U.S. government's client eligibility requirements. Invest in Your Career: Grow With Us Here, we value your professional growth and provide various ways for you to advance your career. With professional and leadership development chances such as upskilling programs, tuition reimbursement, mentoring, and company-sponsored networking, you can pave an individual and rewarding career path. A Place Where You Belong: A diversity of viewpoints fosters collective intelligence. Booz Allen maintains a culture of respect, fairness, and opportunity. Here, you are free to be yourself. Through diversified resource groups and other opportunities for connection, you will establish your community swiftly. Support Your Well-Being: Our extensive benefits program comprises wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With the option for flexible schedules and remote and hybrid locations, we'll back you as you aim for a balanced, fulfilling life—at work and at home. Your Candidate Journey: Booz Allen recognizes that our people drive us forward, and we value relationships above all. We've put together a list of resources, so you know what to expect as we establish a relationship during your journey as a job applicant. Compensation: At Booz Allen, we value your contributions, offer opportunities and choices, and support your overall well-being. Our offerings encompass health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our rewards program acknowledges employees for exceptional performance and superior demonstration of our values. Staff working at least 20 hours per week on a regular basis can participate in Booz Allen's benefits programs. Salary at Booz Allen depends on factors such as location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. The compensation range for this position is $93,300.00 to $212,000.00 annually in USD. Work Model: Our people-first culture values the advantages of flexibility and collaboration, whether in-person or remotely. If this position is listed as remote or hybrid, you'll intermittently work from a Booz Allen or client site facility. If listed as onsite, you'll work with colleagues and clients in person as needed for the particular role. EEO Commitment: We are an equal employment opportunity and affirmative action employer. We empower our people to bring about change fearlessly, irrespective of their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.