Overview
On Site
USD 211,536.00 - 217,000.00 per year
Full Time
Skills
NATURAL
Reasoning
Information Retrieval
Management
Speech Processing
Collaboration
Artificial Intelligence
Telecommuting
Computer Science
Computer Engineering
Machine Learning (ML)
Training
DevOps
Continuous Integration
Continuous Integration and Development
Docker
Amazon Web Services
Python
Machine Learning Operations (ML Ops)
Natural Language Processing
PyTorch
scikit-learn
Research
Job Details
Company Description
Job Description:
Develop machine learning solutions for Bosch AI applications. Work on solutions to derive useful information and knowledge from textual data, and enable natural, intuitive, and intelligent personal assistance. Develop technologies and prototype systems in the fields of natural language processing and understanding, knowledge representation and reasoning, question answering, information retrieval, dialogue management, knowledge-based assistance, and speech processing. Collaborate with an international team of experts to transfer and apply the Bosch in-house machine learning innovations and 3rd-party solutions to Bosch AI products and services. Work with Bosch internal business units to integrate machine learning solutions into Bosch AI platform with high quality implementation for scaling-up. Telecommuting permitted. Up to 5% of domestic and international travel required.
Educational Requirements:
Master's degree or foreign degree equivalent in Computer Science, Computer Engineering, or related field.
Experience Requirements:
Five (5) years of experience in job offered, Machine Learning Engineer, Data Scientist, or in a related occupation.
Special Skills Requirements:
Academic training or work experience in the following:
1. DevOps experience with continuous integration
2. Docker
3. AWS
4. Python
5. Machine Learning Operations (MLOps)
6. Natural Language Processing applications (PyTorch and Scikit-Learn)
Annual Salary: $211,536-$217,000/yr.
Applicants interested in the position should apply using the option below.
[Research Engineer/ REF250231N]
#LI-DNI
Job Description
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Description:
Develop machine learning solutions for Bosch AI applications. Work on solutions to derive useful information and knowledge from textual data, and enable natural, intuitive, and intelligent personal assistance. Develop technologies and prototype systems in the fields of natural language processing and understanding, knowledge representation and reasoning, question answering, information retrieval, dialogue management, knowledge-based assistance, and speech processing. Collaborate with an international team of experts to transfer and apply the Bosch in-house machine learning innovations and 3rd-party solutions to Bosch AI products and services. Work with Bosch internal business units to integrate machine learning solutions into Bosch AI platform with high quality implementation for scaling-up. Telecommuting permitted. Up to 5% of domestic and international travel required.
Educational Requirements:
Master's degree or foreign degree equivalent in Computer Science, Computer Engineering, or related field.
Experience Requirements:
Five (5) years of experience in job offered, Machine Learning Engineer, Data Scientist, or in a related occupation.
Special Skills Requirements:
Academic training or work experience in the following:
1. DevOps experience with continuous integration
2. Docker
3. AWS
4. Python
5. Machine Learning Operations (MLOps)
6. Natural Language Processing applications (PyTorch and Scikit-Learn)
Annual Salary: $211,536-$217,000/yr.
Applicants interested in the position should apply using the option below.
[Research Engineer/ REF250231N]
#LI-DNI
Job Description
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.