Health Intelligence Machine Learning Engineer / Data Scientist

Kepro Harrisburg , PA

Posted 3 weeks ago

Health Intelligence Machine Learning Engineer / Data Scientist

  • Are you an experienced Machine Learning Engineer looking for a new challenge?
  • Do you value care management and quality improvement?
  • Are you motivated, energetic, and excited to become part of the Kepro team?

If so, you might be our next new team member!

Note: This is a fully remote position. Candidates must be based in the United States.

Who we need:

Kepro is looking for a data driven, talented and motivated machine learning (ML) engineer to join our growing team of health intelligence professionals. The successful candidate will be someone who is able to deep dive into data to design long-term, scalable ML and automation solutions supporting the needs of our clients and operations teams. The primary focus of this role will be to develop ML solutions that help to predict and provide answers to various healthcare challenges.

Why us?

Kepro is a rapidly growing national quality improvement and care management organization. We work to ensure that over 20 million people receive the right care, at the right time, in the right setting.

People Focused. Mission Driven.

Shape the future of healthcare with us. We are mission driven to improve lives through healthcare quality and clinical expertise.

We do this through our people.

At Kepro, you can do meaningful work that makes a real difference for the lives of individuals across the country. We are an organization that cares deeply about our employees and we provide the training and support to do the best work of your career.

Benefits are a key component of your rewards package at Kepro. These benefits are designed to provide you and your family additional protection, security, and support for both your career and your life away from work. They are comprehensive and fit a variety of needs and situations. Our benefits include comprehensive health plans, paid time off, retirement savings, corporate wellness, educational assistance, corporate discounts and more.

What youll do:

  • Develops ML models to be used to drive efficiency and support collaborative intelligence
  • Develops data pipelines to support automated transfer of data between disparate data sources
  • Extends existing ML frameworks, API connectivity and libraries to meet use case needs
  • Acts as a technical leader for ML and AI projects and initiatives
  • Investigates and adapts new software platforms to improve current architecture
  • The list of accountabilities is not intended to be all-inclusive and may be expanded to include other duties that management may deem necessary from time to time.

What youll need:

  • Masters Degree in computer science, mathematics, biostatistics, information systems or other related field
  • 3+ years of experience as ML engineer / data scientist
  • 3+ years of experience with Python (advanced scripting)
  • 3+ years of experience creating ML models (CNNs, RNNs, Transformers, Supervised and Unsupervised, Risk Modeling, TensorFlow, Keras, PyTorch, etc.)
  • 3+ years of experience with Natural Language Processing (named entity recognition, information extraction, entity linking, etc.)
  • Experience using Azure to test, deploy and manage ML systems
  • Experience deploying ML models using Azure MLOps
  • Experience conceptualizing, building and optimizing ML data pipelines
  • Experience deploying ML platform on-premise as well as in the cloud
  • Competency with statistical and mathematical concepts of machine learning to understand and recommend appropriate techniques
  • Experience with data engineering ETL solutions
  • Experience with code repositories (Git, Jupyter, etc.)
  • Experience working with underlying relational databases and tables (understand relationships, dimensional modeling, lookup and fact tables, etc.)
  • Strong critical thinking and active listening skills
  • Ability to work in fast-paced dynamic environment and lead several concurrent initiatives
  • Excellent verbal and written communication skills
  • Experience with healthcare data preferred

Thank You!

We know your time is valuable and we thank you in advance for applying for this position. Due to the high volume of applicants we receive, only those who are chosen to advance in our interview process will be contacted. We sincerely appreciate your interest in Kepro and invite you to apply to future openings that may be of interest. Best of luck in your search!

~ The Kepro Talent Acquisition Team

Mental and Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations will be made as required by law in an attempt to enable an individual with a disability to perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sit for prolonged periods of time; key and/or control objects; interact extensively with internal and external customers; occasionally lift and/or move objects weighing up to 10 pounds; and occasionally travel within the state.

EOE AA M/F/Vet/Disability

Kepro is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
AI Machine Learning Engineer


Posted 4 days ago

VIEW JOBS 1/14/2022 12:00:00 AM 2022-04-14T00:00 Position Summary Software Engineer AI/ML Platforms The team This is a hands-on position where you will be empowered to be creative, ambitious, and bold; to solve novel problems and have the potential to directly impact the lives of people around the world. We have impressive toolkits and clients with world class data, and we are now looking for talented people to join our team. Work you'll do You will be on a team of highly talented engineers developing our AI development Platform. Our AI and Technology teams are building AI-enabled solutions across our offering areas in Cyber Security, Fraud Detection, Digital Controls, Predictive Maintenance and Risk Management. These applications cross AI and analytics problems in NLP, imaging, anomaly detection, and deep automation. As we continue to develop products and solutions, we need a strong foundational architecture that allows to build sophisticated AI models leveraging state of the art software and compute capabilities with well annotated data. * Build and maintain a platform for AI/ML model development * Work on a distributed team of expert software engineers across the globe * Build a platform on Kubernetes utilizing latest tools and techniques such as ArgoCD, Kustomize, Helm, Terraform, etc. * Install and deploy Kubernetes clusters across multiple cloud providers and on premise. Qualifications Required * 1+ years developing solutions in the cloud * Master's or bachelor's degree in Computer Science or related field * Should be very analytical and detail oriented, self-sufficient and a team player * Some familiarity in developing cloud-based solutions using micro-services architecture, docker containers and Kubernetes * Excellent verbal and written communication skills * Familiar using Git for source control * Solid Python background * Limited immigration sponsorship may be available * Travel up to 50% (While 50% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice) Preferred * Experience with Helm and Kustomize is a major plus * Experience with Spark is a plus * Familiarity with machine learning tools and development process. * Familiarity with data warehousing tools such as Redshift, Snowflake, Big Query, etc. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte Advisory" means Deloitte & Touche LLP, which provides audit and enterprise risk services; Deloitte Financial Advisory Services LLP, which provides forensic, dispute, and other consulting services; and its affiliate, Deloitte Transactions and Business Analytics LLP, which provides a wide range of advisory and analytics services. Deloitte Transactions and Business Analytics LLP is not a certified public accounting firm. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. These entities are separate subsidiaries of Deloitte LLP. 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. Deloitte will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. See notices of various ban-the-box laws where available. Requisition code: 68999 Deloitte Harrisburg PA

Health Intelligence Machine Learning Engineer / Data Scientist