Agility Partners is seeking a qualified Machine Learning Engineer to fill an open position with a Fortune 500 company based in the greater Connecticut area. As a Machine Learning Engineer, you will play a pivotal role in designing, building, and maintaining sophisticated machine learning models and pipelines. This exciting opportunity offers the chance to leverage your expertise in Python and machine learning libraries like TensorFlow, PyTorch, and Scikit-learn to drive innovation and solve complex data science challenges.
In this role you will:
- Designing, building, and maintaining machine learning models and pipelines.
- Establishing and setting up model life cycle management with tools like MLFlow.
- Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions.
- Deployment utilizing containerization solutions like Docker and Kubernetes.
Benefits and Perks
- Hybrid position in Austin, Texas
- Opportunity to contribute to the forefront of data science advancements
- Culture-focused company focused on customer-first and a growth mindset
- Great resume builder – gain experience with a Fortune 15 company
- Medical, Dental and Vision plans (PPO and HSA plans available); Individual and Family coverage offerings
- Long and short term disability coverage
- 401(k)
The Ideal Candidate
- 7+ years of experience in designing, building, and maintaining machine learning models
- Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn
- Experience with Spark/Databricks, Jenkins, GitHub Actions, Docker, Kubernetes, and AWS cloud services
- Industry experience in building forecasting models
#J-18808-Ljbffr
