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Machine Learning Engineer
2 months ago
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.
Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project-based work.
Conexess Group is aiding a large healthcare client in their search for a Machine Learning Engineer in a hybrid capacity. This is a long-term opportunity with a competitive compensation package.
Machine Learning Engineer with experience in designing, building, and maintaining machine learning models and pipelines. Proven ability to work with a variety of data sources, including structured and unstructured data. Strong experience in Python (MLlib, TensorFlow, and PyTorch).
- Machine learning libraries: TensorFlow, PyTorch, Scikit-learn, Deploying and optimizing different pipelines that support various data science processes.
- Establish and set up model life cycle management with tools like MLFlow, etc
- Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions
- Deployment utilizing containerization solutions like Docker and Kubernetes
- Experience with AWS cloud services and running Apache Spark applications.
- Experience with API development leveraging Fast API / Flask
- Must have industry experience in building Forecasting models
- Master's in Mathematics, Satistics or any Engineering Fields required
- PHD preferred
