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Machine Learning Engineer

Company: Freddie Mac
Location: Mc Lean
Posted on: April 10, 2021

Job Description:

Job DescriptionAt Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation. Position Overview:We are seeking a tech-passionate, creative, hands-on, hardworking, robust AWS-Machine Learning engineer to join the Freddie Lab's IT Tech Modernization team. As an AWS Machine Learning Engineer, you'll be researching, innovating and creating Prototypes and POCs for AI Platforms, tools & technologies to build models, deploy models into Production and monitor their performance. You will design and develop software to extract, clean and manipulate large datasets both structured and unstructured. You will build and test the effectiveness and accuracy of Supervised and Unsupervised AI models including Image Analytics and NLP.**This position can be performed currently from a remote location but will require presence in a Freddie Mac office in the future.***Our Impact:The iLabs (Innovation Labs) Tech Strategy team supports business teams to innovate in the secondary mortgage business by evolving ideas into experiments/concepts into products through Lean Product Development and Agile Methodologies.Your Impact:You will be working on the latest cutting edge tools and technologies as a first mover based on technology trends and in alignment with business objectives. You will be researching, learning and implementing innovative, creative and cost effective ways to safely introduce new technologies to the Freddie Mac environment.Qualifications:* 3+ years of experience with machine learning* 3+ years of experience working with AWS including development of CloudFormation templates* 5+ years of experience in Python (NumPy, SciPy, scikit-learn, pandas, plotly) and any other open source programming languages for large scale data analysis* 2+ years of experience with at least one of the ML Frameworks/libraries XGBoost, TensorFlow, Keras, MXNet, PyTorch, Theano* Knowledge of different Natural Language models and Neural Network architectures* 3+ years of experience in SQL and No-SQL database technologies* Exposure to large microservice-based architectures, container orchestration frameworks: Kubernetes/Amazon EKS* Comprehensive knowledge of modern statistical learning methods* Bachelor's Degree in Computer Science or ITKeys to Success in this Role:* Technically very strong Machine Learning Engineer* Collaborative great teammate* Creative and innovative development approachCurrent Freddie Mac employees please apply through the internal career site.Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.Time-type:Full timeJob Category:Information TechnologyFLSA Status:Exempt

Keywords: Freddie Mac, Washington DC , Machine Learning Engineer, Engineering , Mc Lean, DC

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