Deloitte Machine Learning Engineer in Washington, District Of Columbia
AI & MachineLearning Engineer
Are you interested in working in a dynamicenvironment that offers opportunities for professional growth and newresponsibilities? If so, Deloitte &Touche LLP could be the place for you. At Deloitte, we are creating aworld-class Artificial Intelligence and Machine Learning (AI/ML) Center ofExcellence to enhance Deloitte s existing services (Cyber Security, FraudDetection, Risk Management, etc.) and empower our clients to gain exponentialvalue from their data. Our focus is on bringing data, analytics, and technologytogether with our deep expertise in multiple industries to drive new productdevelopment and significant automation/efficiencies.
Work you ll do
We are seeking to grow our team with brilliant and diverse contributorswith technical ability. We are looking for machine learning experts that wantto be part of a team that has an opportunity to make a significant impact.Opportunities to assist clients will span from genetics (new medicinesdevelopment) to self-driving vehicles to capital markets modeling. This is anexciting role that will stretch your knowledge and curiosity, offering theopportunity to learn new skills and work within a global community.
Influence machine learning strategy for a program/project;explore design options to assess efficiency and impact, develop approaches toimprove robustness and rigor
Be a key contributor to the planning and direction of aproject and effectively prioritize goals
Lead discussions at peer review and use quantitative skillsto positively influence decision making
Effectively explain technical concepts at all levels in theorganization, including senior leaders/stakeholders
Lead, or make major contributions to, improvements inmethodology or initiatives to address capability gaps or increase efficiency
Represent Deloitte externally to advance our reputation asthe AI/ML leader in the consulting industry
Identify opportunities to apply the latest advancements inMachine Learning and Artificial Intelligence to build, test, and validatepredictive models
Create algorithms to extract information from large,multiparametric data sets
Deploy your algorithms to production to identify actionableinsights from large databases
Compare results from various methodologies and recommend besttechniques to stake holders
Develop and embed automated processes for predictive modelvalidation, deployment, and implementation
Connect and collaborate with subject matter experts acrossmultiple industries
Make impactful contributions to internal discussions onemerging machine learning methodologies
This is a hands-on position where you will beempowered to be creative, ambitious, and bold; to solve novel problems and havethe potential to directly impact the lives of people around the world. We haveimpressive tool-kits and clients with world class data, and we are now lookingfor talented people to join our team.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
A degree in Engineering, Statistics, Data Science, Applied Mathematics,Computer Science, Physics, Computational Biology, Computational Chemistry orrelated quantitative field (Masters or PhD preferred for Senior Manager directhires)
Expert understanding of a programming language such as Python.
Experience with at least one Deep Learning framework such as PyTorch or TensorFlow/Keras
Demonstrated ability to write high-quality, production-ready code(readable, well-tested, with well-designed APIs)
Demonstrated ability to develop novel machine learning methods that gobeyond putting together of existing code, and to apply problem-solving skillsto complex issues
Excellent written and verbal communication skills
Ability to work autonomously and collaboratively as part of a team toboth teach and learn every day
Continuously looking for opportunities to learn, build skills and sharelearning.
PhD or Master'sdegree
AI/MLpublication in a peer-reviewed journal
Proficiency inLinux environment (including shell scripting), experience with databaselanguages (e.g., SQL, No-SQL) and experience with version control practices andtools (Git, Perforce, etc.)
Familiaritywith cloud computing services (AWS, GCP, or Azure)
Large-scaledeep learning model training
How you ll grow
At Deloitte, our professionaldevelopment plan focuses on helping people at every level of their career toidentify and use their strengths to do their best work every day. Fromentry-level employees to senior leaders, we believe there s always room tolearn. We offer opportunities to help sharpen skills in addition to hands-onexperience in the global, fast-changing business world. From on-the-job learning experiences toformal development programs at Deloitte University, our professionals have avariety of opportunities to continue to grow throughout their career. Explore DeloitteUniversity, The Leadership Center. at https://zoomforth.com/s/deloitte/du#home
At Deloitte, we know that great people make a greatorganization. We value our people and offer employees a broad range ofbenefits. Learnmore about what working at Deloitte can mean for you. at http://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html
Our positive and supportive culture encourages ourpeople to do their best work every day. We celebrate individuals by recognizingtheir uniqueness and offering them the flexibility to make daily choices thatcan help them to be healthy, centered, confident, and aware. We offerwell-being programs and are continuously looking for new ways to maintain aculture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.
Deloitte is led by a purpose: to make an impact thatmatters. This purpose defines who we are and extends to relationships with ourclients, our people and our communities. We believe that business has the power to inspire and transform. Wefocus on education, giving, skill-based volunteerism, and leadership to helpdrive positive social impact in our communities. Learnmore about Deloitte s impact on the world. at http://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-corporate-citizenship.html
We want jobseekers exploring opportunities at Deloitte to feel prepared and confident. Tohelp you with your interview, we suggest that you do your research: know somebackground about the organization and the business area you re applying to. Checkout recruiting tips from Deloitte professionals. at http://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html
Category: Information Technology
As used in this document, Deloitte means Deloitte LLP and its subsidiaries. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.