AI/ML Job: Machine Learning Engineer

CareRev

Machine Learning Engineer at CareRev

Remote โ€บ ๐Ÿ‡บ๐Ÿ‡ธ 100% remote position (in the US)
  (Posted Jan 19 2022)

Job description
Machine Learning Engineer: Senior
CareRev is bringing the future of work to Healthcare! We are developing a robust marketplace that connects trusted Healthcare professionals to relevant per diem shift opportunities. We are working to change the traditional relationship between Healthcare professionals and Healthcare facilities alike, aiming to build a future that ensures people who work in Healthcare have better tools and are empowered to be the healers they want to be.

The Data Science team is pioneering the machine learning product offerings for CareRev. We are looking for passionate machine learning leaders that want the opportunity to own, define, and shape the future of machine learning for CareRev and ultimately for patient care. Your focus will be to work closely with Data Engineers and DevOps Engineers to begin the build-out phase of our end-to-end machine learning pipelines using the latest technologies including Deep Learning, NLP, and OCR. This role reports to the Director of Data Science in an individual-contributor capacity.

What Youโ€™ll Do:
Become a thought leader for machine learning best practices when it comes to development, versioning, deployment, testing, and evaluation to provide new ideas to the company.
Create and define scalable machine learning pipelines using microservices methodologies while writing production code to perform research, training, tuning, serving, CI/CD, and monitoring.
Research and develop Deep Learning technologies to improve the performance and evaluation of unsupervised/supervised models, including LTSM, RNN, CNN, RL, and Bayesian Deep Learning.
Utilize Tensorflow, Pytorch, Spark, AWS Sagemaker, GPUโ€™s, NoSQL/SQL and to develop and deploy machine learning models into a production environment
Collaborate and connect across functions to improve and learn from team members in a fast-pace environment.

What Weโ€™re Looking For:
We understand not all people fit the mold, so if you think you do not fit the mold, yet up to the challenge, please apply.
2 to 4 years writing machine learning production code for customers
Experience with creating end-to-end machine learning pipelines using containerization in AWS to improve client-facing products
Experience with Tensorflow, Pytorch, Airflow, Kubernetes, Docker, Microservices,REST APIโ€™s, Python, NoSQL/SQL, and Snowflake
Familiarity with designing database schemas for machine learning pipelines to track model performance and to create feature stores
Familiarity mentoring external and internal teams in machine learning best practices
MLOps experience desired
Start-up experience and non-traditional backgrounds are a big plus
No travel required

Physical Requirements:
Prolonged periods of sitting and/or standing at a desk
Prolonged periods of working on a computer
Repeating motions that may include the wrists, hands and/or fingers
Ability to lift up to 15 pounds of work equipment
Ability to set up home office to include desk and chair

A Few Reasons to Consider Us:
100% remote company
Comprehensive medical, dental, and vision benefits
Short term disability 100% covered by CareRev
Life insurance covered by CareRev
Paid parental leave
Generous paid holidays & unlimited PTO
401K and company match
Office equipment stipend
Learning reimbursement program

CareRev is putting transparency, fairness, and trust back on the table. We deeply value changing the world for the better! To date, CareRev has raised $50M in funding to further our mission. In addition, CareRev has a fantastic group of investors, including Transformation Capital, top Healthcare VC firms, Y Combinator partners, and alumni.

Please mention that you found the job at Jobhunt.ai

Apply now!  
 

Company: CareRev

CareRev
job info / career page
Linkedin profile
Location: ๐Ÿ‡บ๐Ÿ‡ธ US Remote, 100% Remote

Map of the USA

Skills wanted for this job:
aws cnn devops docker kubernetes
ltsm microservices nlp nosql python
pytorch rnn spark sql tensorflow

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