Job title: Machine Learning Lead

Company: Evolent Health Services

Job description: It’s Time For A Change Your Future Evolves Here Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We

It’s Time For A Change Your Future Evolves Here Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference in everything from scrubs to jeans. Are we growing Absolutely – about 40% in year-over-year revenue growth in 2018. Are we recognized Definitely. We have been named one of ‘Becker’s 150 Great Places to Work in Healthcare’ in 2016, 2017, 2018 and 2019, and one of the ’50 Great Places to Work’ in 2017 by Washingtonian. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it. What You’ll Be Doing: The Machine Learning Lead will support building of AI products in Agile fashion that empower healthcare payers, providers, and members to quickly process medical data to making informed decisions and overall reduce health care costs. As a Machine learning Lead, you will be working primarily on end-to-end solutions of Business problems incorporating Statistical and Machine learning models to Deploying and maintaining scalable and highly available Machine learning products on cloud using software engineering best practices. These applications include but are not limited to recommendation systems, Fraud Waste and Abuse platforms, Decision support systems and Data Visualizations for Data science command center. We ingest claims, medical charts, Authorization forms etc. from providers containing Structured and unstructured data. The data science and AI products will be used dually for real-time operational processes with both automated and human-based decision making as well as contribute to reducing healthcare administrative costs. We work with all major cloud and big data vendors offerings including but not limited to (Azure, AWS, Google, IBM, etc.) to achieve AI goals in healthcare and support Evolent business. The Data science Team lead will also engage with Engineering team, Cloud infrastructure team, information security team to meet the objectives of Data Science and AI products. Machine learning lead will support, guide and mentor team members as per the needs of the project. Essential functions The Machine Learning lead will have the opportunity to lead a team, shape team culture and operating norms because of the fast-paced nature of a new, high-growth organization. 6+ years of Industry experience as a data scientist or Machine learning scientist with 1+ years of leading a Data science team Develop and Deploy Data Science and machine learning products to support Evolent Health business objectives, Healthcare related products and improve processing efficiency, reducing overall healthcare costs Apply expert software engineering and cloud skills to build products, improve automation, and improve user experiences leveraging structured and unstructured data Own the Data science, machine learning and AI products from platforms to systems for model training, versioning, deploying, storage and testing models with creating real time feedback loops to fully automated services Work closely and collaborate with Data Scientists, Machine Learning engineers, IT teams, cloud infrastructure teams and Business stakeholders spread out across various locations in US and India to achieve business goals Provide mentoring to other Data Scientist and Machine Learning Engineers Strong understanding of mathematical concepts including but not limited to linear algebra, Advanced calculus, partial differential equations and statistics including Bayesian approaches Strong programming experience including understanding of concepts in data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture Good understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, regressions, SVM, trees, and model evaluations Additional course work, projects, research participation and/or publications in Natural Language processing, reasoning, and understanding, information retrieval, text mining, search, computational linguistics, ontologies, semantics Experience with developing and deploying products in production with experience in two or more of the following languages (Python, C++, Java, Scala) Strong Unix/Linux background and experience with at least one of the following cloud vendors like AWS, Azure, and Google for 2+ years Hands on experience with one or more of high-performance computing and distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (1+ years) Thorough understanding of deep learning architectures and hands on experience with one or more frameworks like tensorflow, pytorch, keras (1+ years) Hands on experience in Data science and Machine learning for 6+ years Understanding business use cases and be able to translate them to team with a vision on how to implement Identify enhancements and build best practices that can help to improve the productivity of the team. 2+ years of Experience with Kubernetes and dockers 2+ Experience building REST API’s for AI work and knowledge of microservices architecture Nice to Have Medical concepts with codes from standard ontologies (SNOMED CT, LOINC, RxNorm, ICD, etc.) Participation in open-source community projects A Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field is preferred with a strong academic background and industry experience Publication record in top NLP conferences (NIPS, ICLR, ACL, NAACL, EMNLP, SIGIR, WWW etc.) is preferred Academic Qualification Bachelor’s degree or above in Computer Science, Mathematics, Physics or electrical engineering with research experience from a strong academic program along with thesis

Expected salary:

Location: Pune, Maharashtra

Job date: Fri, 11 Mar 2022 23:29:38 GMT

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