Opening for Sr LLM Engineer-REMOTE
Job Title: Senior LLM Engineer
Duration: 12+ Months contract (Can go up to 24 Months)
Location: Remote
Join our dynamic team as a Senior Developer, specializing in the
implementation and prompt engineering of Large Language Models (LLMs).
In this role, you will harness the power of state-of-the-art LLMs to
revolutionize personalized communication and automated processes
within a digitally-driven retail telecom environment. This position
requires a strong technical foundation (70%) complemented by strategic
business insights and prowess to write, validate and predict consumer
prompts (30%), aimed at deploying scalable, high-impact LLM solutions
that enhance digital commerce and customer interaction. The deep
understanding of consumer interaction patterns in search, chatbot, etc
is a must have.
Key Responsibilities:
Advanced LLM Integration: Implement and refine large language models
to develop cutting-edge systems for personalized customer interactions
and automation, ensuring scalability and efficiency.
• Prompt Engineering Excellence: Employ advanced
prompt engineering techniques to fine-tune LLM interactions, achieving
tailored and contextually appropriate responses that elevate the
consumer experience in the telecom retail sector.
• Open-source Optimization: Adapt and optimize
open-source LLMs from platforms like Hugging Face, aligning them with
specific consumer needs and seamlessly integrating them into our
existing infrastructure.
• Collaborative Innovation: Work closely with the
digital marketing and customer experience teams to leverage LLMs in
enhancing digital engagement, customer satisfaction, and e-commerce
initiatives.
• Robust LLM Management: Oversee the deployment,
maintenance, and scaling of LLM solutions, prioritizing reliability,
performance, and security across all digital platforms.
• Required Skills and Experience:
• Proven LLM Expertise: Strong proficiency in the
implementation, integration, and management of large language models,
with a deep understanding of their capabilities and potential
applications.
• Technical Proficiency: Advanced skills in
programming and scripting, particularly in Python, essential for LLM
development and customization.
• Cloud Architecture Acumen: Familiarity with cloud
computing services and architectures, crucial for deploying and
managing scalable LLM applications.
• Strategic Communication: Ability to articulate
complex technical details and LLM strategies effectively to both
technical and non-technical stakeholders.
Preferred Qualifications:
• Digital and E-commerce Experience: Background in
the retail telecom sector, with insights into digital marketing,
e-commerce challenges, and customer engagement strategies.
• Ecosystem Expertise: Experience with Google's and
OpenAI's LLM ecosystems, applying these technologies to drive tangible
improvements in customer experience and business operations.
• Project Leadership: Demonstrated success in
leading cross-functional projects that integrate LLM technology to
boost customer service and enhance operational efficiency.
• Impactful Portfolio: A robust portfolio of
projects where LLM implementations have significantly improved
customer engagement or streamlined operational processes.
--
-- Duration: 12+ Months contract (Can go up to 24 Months)
Location: Remote
Join our dynamic team as a Senior Developer, specializing in the
implementation and prompt engineering of Large Language Models (LLMs).
In this role, you will harness the power of state-of-the-art LLMs to
revolutionize personalized communication and automated processes
within a digitally-driven retail telecom environment. This position
requires a strong technical foundation (70%) complemented by strategic
business insights and prowess to write, validate and predict consumer
prompts (30%), aimed at deploying scalable, high-impact LLM solutions
that enhance digital commerce and customer interaction. The deep
understanding of consumer interaction patterns in search, chatbot, etc
is a must have.
Key Responsibilities:
Advanced LLM Integration: Implement and refine large language models
to develop cutting-edge systems for personalized customer interactions
and automation, ensuring scalability and efficiency.
• Prompt Engineering Excellence: Employ advanced
prompt engineering techniques to fine-tune LLM interactions, achieving
tailored and contextually appropriate responses that elevate the
consumer experience in the telecom retail sector.
• Open-source Optimization: Adapt and optimize
open-source LLMs from platforms like Hugging Face, aligning them with
specific consumer needs and seamlessly integrating them into our
existing infrastructure.
• Collaborative Innovation: Work closely with the
digital marketing and customer experience teams to leverage LLMs in
enhancing digital engagement, customer satisfaction, and e-commerce
initiatives.
• Robust LLM Management: Oversee the deployment,
maintenance, and scaling of LLM solutions, prioritizing reliability,
performance, and security across all digital platforms.
• Required Skills and Experience:
• Proven LLM Expertise: Strong proficiency in the
implementation, integration, and management of large language models,
with a deep understanding of their capabilities and potential
applications.
• Technical Proficiency: Advanced skills in
programming and scripting, particularly in Python, essential for LLM
development and customization.
• Cloud Architecture Acumen: Familiarity with cloud
computing services and architectures, crucial for deploying and
managing scalable LLM applications.
• Strategic Communication: Ability to articulate
complex technical details and LLM strategies effectively to both
technical and non-technical stakeholders.
Preferred Qualifications:
• Digital and E-commerce Experience: Background in
the retail telecom sector, with insights into digital marketing,
e-commerce challenges, and customer engagement strategies.
• Ecosystem Expertise: Experience with Google's and
OpenAI's LLM ecosystems, applying these technologies to drive tangible
improvements in customer experience and business operations.
• Project Leadership: Demonstrated success in
leading cross-functional projects that integrate LLM technology to
boost customer service and enhance operational efficiency.
• Impactful Portfolio: A robust portfolio of
projects where LLM implementations have significantly improved
customer engagement or streamlined operational processes.
Thivya Jothi
US IT Recruiter | Techorbit
1300 W Walnut Hill Lane, Suite# 260, Irving, TX 75038
E-Mail: jothi@techorbit.com || Contact: 469-9235803
Follow us: https://www.linkedin.com/company/techorbit-inc
You received this message because you are subscribed to the Google Groups "Thivya Jothi" group.
To unsubscribe from this group and stop receiving emails from it, send an email to thivyajothi284+unsubscribe@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/thivyajothi284/CALXtW0sYM0KgiWv%2B%3DqSdB0wos-mTi-9A_AWiXULSHd_%3DM%3DiLmw%40mail.gmail.com.
Comments
Post a Comment
Thanks