What are the responsibilities and job description for the Data Engineer position at Maven?
Please note our client can only accept US Citizens and Green Card holders for this position
Full time salaried employee with Maven, with option to go full time with our customer
Job Title: Senior Data Engineer with Azure Databricks experience
Job Type: Remote with up to 25% travel
Make a Global Impact
As a Data Engineer, you will be at the forefront of applying AI and ML technologies in healthcare to improve patient lives worldwide. Your contributions will not only advance the field of healthcare technology but also ensure that the benefits of these innovations reach those who need them most. If you are ready to make a significant impact in a company that's reshaping healthcare, we encourage you to apply.
Position Summary
Join Maven as we continue to support an innovative and rapidly growing healthcare technology product company that is revolutionizing the way we approach wellness and patient support. By integrating advanced technological solutions with personalized patient engagement and education, this organization aims to significantly enhance health outcomes and reduce the need for acute care interventions. As a part of our dynamic team, you will be a data engineer supporting Azure AI/ML Ops Engineering focused on building a robust data platform and pipelines that enable advanced analytics. This role offers the unique opportunity to develop AI/ML-based applications that have a meaningful impact on people's lives globally.
Essential Duties
- Utilize Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML applications.
- Seamlessly integrate AI components into data workflows, collaborating with data scientists and engineers.
- Implement natural language processing (NLP), machine learning models, and algorithms using Azure AI services.
- Collaborate with DevOps teams to automate the deployment and monitoring of AI models.
- Leverage AI for process automation, including sentiment analysis, image identification, recommendation systems, and chatbots.
- Develop and manage machine learning pipelines and workflows for scaling ML models in production.
- Automate CI/CD pipelines for data, code, and model changes.
- Monitor and update model performance as necessary.
- Ensure the security and compliance of machine learning systems.
- Collaborate with data scientists to enhance model performance and efficiency.
Position Requirements & Competencies
- Bachelor’s Degree (BA/BS) in Information Systems, Computer Science, or a related field from a four-year college or university, plus 5 years of development experience, or an equivalent combination of education and experience.
- Willingness to travel up to 25%.
- 3-6 years of experience in managing machine learning projects end-to-end, with a focus on MLOps in the last 18 months.
- Strong programming skills in Python, Java, or other
- Proficiency in TensorFlow, PyTorch, scikit-learn, or similar machine learning libraries and frameworks.
- Experience with Docker, Kubernetes, and other containerization technologies.
- Familiarity with ML model deployment tools like MLflow or Kubeflow.
- Experienced in the Azure cloud platform and the automation of machine learning model deployment.
Working Conditions
This role is predominantly remote but involves going on client site a few times a year so some travel.
