[Remote] Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. Optomi is a company at the forefront of AI and machine learning innovation. They are seeking a Machine Learning Engineer to transform analytical models into scalable, production-ready solutions while collaborating with data science and IT teams to build robust data pipelines.
Responsibilities
- Join a dynamic team at the forefront of AI and machine learning innovation!
- As an ML Engineer, you will play a pivotal role in transforming analytical models into scalable, production-ready solutions that drive real business impact
- Collaborate with top-tier data science and IT teams to build robust data pipelines and deploy cutting-edge models using leading tools and technologies
- If you're passionate about pushing the boundaries of machine learning and eager to work in a fast-paced, collaborative environment, this is your opportunity to make a measurable difference
Skills
- 5-6 years of experience in machine learning and data engineering
- Proficiency in SQL and Python
- Strong understanding of CI/CD automation, pipelines, and deployment
- Hands-on experience with Airflow, Vertex AI, Dataform, GitHub Actions, Terraform, and Kubernetes
- Knowledge of model migration, productionization, and data pipeline
- Ability to work remotely with a standard EST 9am-5pm schedule
- Strong communication skills and a proactive, hands-on approach
- Willingness to engage in technical assessments and live coding interviews
- Experience with GCP (Google Cloud Platform)
- Familiarity with MLflow, Kubeflow, or SageMaker
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- Proven track record in supporting model deployment and migration project
- Relevant experience in a collaborative, cross-functional team environment
Benefits
- Ability to work remotely with a standard EST 9am-5pm schedule
Company Overview
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