Job Description
Job Details
- Company Name: ascend.mysmartpros
- Employment type: Full time
- Experience: Fresher
- Salary: $10 to $15 Hourly
- Location : Remote Option Available
- Work schedule : 5 days a week
Qualifications
- Job requirements: – Bachelor’s/Master’s degree in computer science or equivalent experience
- 1+ years of professional software development experience -Proficiency in Python programming for developing and optimizing LLM-based solutions
- Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or -Hugging Face Transformers for LLM development
- 4 more items
About Turing.com: Turing’s mission is to unleash the world’s untapped human potential.
We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”.
We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding.
1000+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, have hired Turing developers. About the role: We’re seeking Python developers passionate about web development and proficient in LLMs to create highly scalable, customer-centric, and efficient web applications.
Job responsibilities: -Collaborate on LLM training with data scientists and ML engineers.
-Optimize LLMs for enhanced efficiency and accuracy.
-Stay updated on the latest LLM advancements and apply them to development.
-Implement Python solutions leveraging LLMs for natural language understanding and generation.
-Continuously fine-tune and optimize LLMs for enhanced efficiency and accuracy.
Job requirements: – Bachelor’s/Master’s degree in computer science or equivalent experience.
-1+ years of professional software development experience
-Proficiency in Python programming for developing and optimizing LLM-based solutions.
-Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or
-Hugging Face Transformers for LLM development.
-Understanding of Natural Language Processing (NLP) concepts and ability to work with Large Language Models.
-Analytical and problem-solving skills, particularly in troubleshooting and optimizing LLM implementations.
-Effective communication skills in English to collaborate with engineering managers and team members.
-Ability to work full-time (40 hours/week) with a 4-hour overlap with U.S. time zones.