Negotiable
Outside
Remote
USA
Summary: We are seeking a talented and experienced Data Science Developer to join our remote team. The ideal candidate will have a strong background in machine learning or deep learning model development using frameworks such as PyTorch or TensorFlow. Proficiency in Python and experience with distributed computing frameworks like Spark are essential, along with a preference for experience in graph databases or cybersecurity.
Key Responsibilities:
- Design, develop, and deploy machine learning/deep learning models using PyTorch or TensorFlow.
- Work with large-scale data using distributed computing tools like Apache Spark.
- Collaborate with cross-functional teams to understand data needs and deliver ML-powered solutions.
- Optimize model performance and ensure scalability for production deployment.
- Stay current with the latest ML/DL research and apply new techniques where applicable.
- (If applicable) Integrate graph-based ML methods using tools like PyTorch Geometric or graph databases.
Key Skills:
- 3 5+ years of hands-on experience in developing and deploying machine learning or deep learning models.
- Strong proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow).
- Experience working with distributed computing engines such as Apache Spark.
- Ability to write clean, modular, and scalable code.
- Strong problem-solving skills and analytical mindset.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
Experience Level: Mid to Senior (3 5+ years)
Location: Remote
- Design, develop, and deploy machine learning/deep learning models using PyTorch or TensorFlow.
- Work with large-scale data using distributed computing tools like Apache Spark.
- Collaborate with cross-functional teams to understand data needs and deliver ML-powered solutions.
- Optimize model performance and ensure scalability for production deployment.
- Stay current with the latest ML/DL research and apply new techniques where applicable.
- (If applicable) Integrate graph-based ML methods using tools like PyTorch Geometric or graph databases.
- 3 5+ years of hands-on experience in developing and deploying machine learning or deep learning models.
- Strong proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow).
- Experience working with distributed computing engines such as Apache Spark.
- Ability to write clean, modular, and scalable code.
- Strong problem-solving skills and analytical mindset.