Chennai, Tamil Nadu, India
Space Exploration & Research, Information Technology
Full-Time
EVRY India
Overview
Role : Machine Learning Engineer.
Experience : 5+ Years.
Work Location : Hyderabad / Pune.
Skills : Machine learning, Artificial intelligence, NLP, LLM.
As a Machine Learning Engineer specializing in Prompt Engineering, the associate will be responsible for designing, developing, and optimizing prompts for advanced language models.
He/She will work closely with our data science, product, and engineering teams to create highly effective and efficient AI solutions that meet our clients' needs.
Roles & Responsibilities
Experience : 5+ Years.
Work Location : Hyderabad / Pune.
Skills : Machine learning, Artificial intelligence, NLP, LLM.
As a Machine Learning Engineer specializing in Prompt Engineering, the associate will be responsible for designing, developing, and optimizing prompts for advanced language models.
He/She will work closely with our data science, product, and engineering teams to create highly effective and efficient AI solutions that meet our clients' needs.
Roles & Responsibilities
- Develop, test, and optimize prompts for various natural language processing (NLP) tasks.
- Collaborate with cross-functional teams to understand project requirements and translate them into effective prompt engineering solutions.
- Conduct experiments to evaluate the performance of prompts and iterate based on findings.
- Stay up-to-date with the latest advancements in prompt engineering and NLP techniques.
- Implement best practices for prompt design and integration with existing machine learning models.
- Troubleshoot and resolve issues related to prompt performance and accuracy.
- Document prompt engineering processes, methodologies, and outcomes for future reference.
- Provide technical guidance and mentorship to junior team members.
- Good Interpretation and Communication Skills.
- Bachelor's or master's degree in computer science, Machine Learning, Artificial Intelligence, or a related field.
- 3+ years of experience in machine learning, with a focus on natural language processing.
- Proven experience in prompt engineering and developing NLP models.
- Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e., TensorFlow, PyTorch).
- Strong understanding of NLP techniques, including tokenization, embeddings, language models, and sequence-to-sequence models.
- Experience with large-scale language models (e., GPT-3, GPT-4) is highly desirable.
- Ability to design and conduct experiments, analyze results, and implement improvements.
- Excellent problem-solving skills and attention to detail.
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