MLOps Engineer -Enablement (Replica Analytics)
New York City or Remote within the US
Applications have closed
About the role:
Working at Replica Analytics is an opportunity to advance health care, AI and privacy at the same time – three of the hottest topics in the world today. Our Enablement team researches and evaluates tools, technologies and frameworks that can be used by our Engineering Product team and Data Science R&D teams to advance their work. If you enjoy a highly interdisciplinary, innovative and supportive environment, this may be the right job for you.
We are hiring an MLOps Engineer to:
- Identify tool and technology requirements of our internal Data Science and Product Development teams.
- Match internal team requirements with tools, technologies and frameworks by evaluating their fit.
- Provide consulting services to internal teams to aid in training, designing, deploying and integrating new technology solutions.
Qualifications
We are looking for individuals to support R&D and Product Development. We are looking for a:
- Self-starter with experience developing software, processing big data, and implementing machine learning / deep learning pipelines.
- Strong communicator with the ability to understand data science concepts and express software design ideas.
- Strong interest in working with a remote team and a willingness to ask questions and share information with the rest of the team.
An MLOps Engineer at Replica Analytics usually has 2+ years of experience in some of the following areas:
- Building backend software applications in Python
- Experience with data analysis frameworks (Pandas, Numpy)
- Experience with machine learning frameworks (Scikit Learn, LightGBM)
- Experience with deep learning frameworks (PyTorch, Tensorflow)
- Experience with distributed computing (Ray, Spark)
- Experience with SQL and ETL tools
- Experience with MLOps, knowledge of Kubeflow, MLflow or similar tools
- Experience with AWS and configuring development and test environments in EC2
- Experience with Docker and Kubernetes
About Aetion:
- Lead at all levels – Aetion is a diverse workforce of scientific thought leaders and technological innovators coming together with a vision to dramatically improve the Healthcare industry. Aetion supports and maintains a presence in organizations such as ISPOR, ISPE, ASHP, and HIMSS
- Awards – Aetion is the recipient of numerous prestigious awards:
-
- Built In Boston and Built In New York 2022 Best Places to Work
- Fierce Healthcare’s Fierce 15 of 2021
- Parity.org’s 2021 Best Companies for Women to Advance
- NYC Health Business Leaders’s 2022 Digital Health 100
-
Aetion is an Equal Opportunity Employer. Aetion is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.
Tags: AWS Big Data Consulting Data analysis Deep Learning Docker EC2 Engineering ETL Kubeflow Kubernetes LightGBM Machine Learning MLFlow MLOps NumPy Pandas Pipelines Privacy Python PyTorch R R&D Scikit-learn Spark SQL TensorFlow
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open AI Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open ETL Developer jobs
- Open Data Quality Analyst jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs