Machine Learning Engineer
Description:
Are you passionate about machine learning and interested in working in the fast-paced information technology and services industry? We are seeking a talented Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will play a key role in driving innovation and creating solutions that leverage machine learning algorithms. You will collaborate with our team of talented software developers to enhance our existing products and develop new cutting-edge solutions. If you have a strong technical background, a knack for problem-solving, and a passion for transforming data into actionable insights, we would love to hear from you.
Responsibilities
- Develop and implement machine learning models and algorithms for various applications
- Analyze and process large, complex datasets to extract valuable insights
- Collaborate with cross-functional teams to understand business requirements and deliver innovative solutions
- Perform data cleaning, preprocessing, and feature engineering to improve model performance
- Optimize and fine-tune machine learning models for scalability and efficiency
- Evaluate and improve existing ML algorithms, frameworks, and toolkits
- Stay up-to-date with the latest trends and advancements in the field of machine learning
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field
- Strong knowledge of machine learning algorithms and data modeling techniques
- Proficiency in Python and its associated libraries such as TensorFlow, PyTorch, or scikit-learn
- Experience with big data technologies such as Hadoop, Spark, or Apache Kafka
- Familiarity with cloud computing platforms such as AWS or Google Cloud
- Excellent problem-solving and analytical skills
- Strong communication and collaboration abilities
- Ability to work effectively in a fast-paced and dynamic environment
| Organization | Orbit Recruitment Group |
| Industry | IT / Telecom / Software Jobs |
| Occupational Category | Machine Learning Engineer |
| Job Location | Philadelphia, PA, USA |
| Shift Type | Morning |
| Job Type | Full Time |
| Gender | No Preference |
| Career Level | Intermediate |
| Experience | 2 Years |
| Posted at | 2024-04-19 11:28 am |
| Expires on | 2026-11-29 |