Machine Learning Engineer

Stemta Corporation

  • Tampa, FL
  • Permanent
  • Full-time
  • 1 month ago
Are you passionate about leveraging cutting-edge technologies to build innovative machine learning solutions? Do you have a strong background in machine learning algorithms, cloud platforms, and big data processing? If so, we have an exciting opportunity for you to join our team as a Machine Learning Engineer.Responsibilities:
  • Collaborate with cross-functional teams to design, develop, and deploy machine learning models and applications.
  • Implement scalable and efficient machine learning algorithms, pipelines, and workflows.
  • Conduct data preprocessing, feature engineering, and selection to optimize model performance.
  • Collaborate with data engineers to ensure seamless data integration and availability for machine learning tasks.
  • Deploy machine learning models using containerization technologies like Kubernetes.
  • Utilize cloud platforms, especially AWS, for building and deploying machine learning solutions.
  • Leverage Apache Spark with Scala to process and analyze large-scale datasets.
Monitor and evaluate model performance, and iterate on improvements. * Stay up-to-date with the latest advancements in machine learning, cloud technologies, and big data processing.Preferred Qualifications:
  • Certified Kubernetes Application Developer
  • AWS Certified Machine Learning – Specialty
  • Apache Spark with Scala
  • Experience with Scala, a programming language that integrates well with Spark, is an added advantage.
Qualifications:
  • Strong programming skills in languages such as Python, Scala, or Java.
  • Experience in designing and implementing machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in working with large-scale datasets and implementing data processing techniques.
  • Knowledge of cloud platforms, especially AWS services for machine learning, such as SageMaker, S3, EC2, and Lambda.
  • Familiarity with containerization technologies like Docker and Kubernetes.
We look forward to reviewing your application and discussing how you can contribute to our team’s success in developing cutting-edge machine learning solutions. EEO – All qualified applicants will receive consideration for employment without discrimination. Base Salary Max:: 132000

Stemta Corporation