Overview
Remote
$80 - $100
Contract - W2
Contract - 12 Month(s)
Skills
Large Language Models (LLMs)
Natural Language Processing (NLP)
Google Cloud Platform (GCP) / Azure.
AI(Artificial intelligence)
Job Details
Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status.
Title: Software Developer (LLMs, NLP & AI)
Location: Remote
Duration: 6+ Months
Pay: As per market
Responsibilities:
- Strong expertise in Large Language Models (LLMs) and Natural Language Processing (NLP), particularly in semantic similarity and language understanding.
- Hands-on experience in designing, implementing, and deploying AI agents and tools in cloud environments such as Google Cloud Platform (Google Cloud Platform) / Azure.
- Proven ability to work with production-grade ML pipelines, including model fine-tuning, evaluation, and integration with enterprise systems.
- Familiarity with scalable architectures for AI solutions and best practices for security and compliance in cloud deployments.
- Product management skills preferred
Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
- Proven experience as a Software Developer or similar role
- More experience with architecture implementation (with support from the tech team of course) rather than software dev even (they need to know enough to guide the tech team to implement the solution on Databricks).
Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
- Proven experience as a Software Developer or similar role
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.