Senior AI Engineer (Remote)
at GlobalPassport
Desde casa, Río Negro, Argentina -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 24 Nov, 2024 | Not Specified | 30 Aug, 2024 | 5 year(s) or above | Azure,Spark,Computer Science,Python,Programming Languages,Artificial Intelligence,C++,Data Science,Hadoop,Kafka,Javascript,English | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
POSITION SUMMARY:
We are seeking a highly skilled Senior AI Engineer to join our fast-growing startup and lead the development of cutting-edge AI and machine learning solutions. The ideal candidate will have a strong background in AI/ML, Gen AI and LLMs integrations, data science, and software engineering, with a passion for innovation and problem-solving. This role is pivotal in driving the company’s AI capabilities forward as we revolutionize the way people live, work, and retire abroad.
TECHNICAL SKILLS REQUIRED
- Gen AI expertise: Proven experience in integrations with LLMs. Knowledge of Agentic workflows & function-calling applications.
- ML Expertise: Proven experience in designing, building, and deploying AI/ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Programming Languages: Strong proficiency in Python and familiarity with other relevant languages like Javascript, or C++.
- Data Management: Strong capabilities in handling large datasets, data preprocessing, and feature engineering.
- Cloud Platforms: Experience with AWS cloud platform is a must (Azure or GCP is a plus) particularly in deploying and managing AI/ML models.
- CI/CD Pipelines: Knowledge of CI/CD practices and tools for automating the deployment of AI models.
- Big Data Technologies: Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus.
QUALIFICATIONS AND EXPERIENCE
- Professional Experience: Minimum of 5 years in AI/ML engineering, with a focus on deploying AI models in production environments.
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Language: Proficiency in English, both written and conversational.
- Preferred Qualifications: Experience in a startup environment, with a track record of successful AI/ML model deployments.
Responsibilities:
REQUIREMENT SUMMARY
Min:5.0Max:10.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Computer Science
Proficient
1
Desde casa, Argentina