Remote
Part Time
Role : AI Engineer
Location : Banglore, Hyderabad
Experience : 3+ years
Employment Type : Longterm contract role
Work Mode : Initially it is Remote, After as per client requirement you have work in Client location
Job Description :
LLM Applied AI & Generative AI (Gen AI)
This role combines expertise in Large Language Models (LLMs) with Generative AI (Gen AI) to develop and implement innovative solutions. You'll be at the forefront of AI technology, applying your skills to real-world problems.Here's a breakdown of the typical responsibilities:Research and Development
Conduct research to push the boundaries of LLMs and Gen AI
Design and implement algorithms for LLM training and Gen AI tasksStay up-to-date on the latest advancements in LLM and Gen AI researchPrompt Engineering and Prompt chains
Fine-tune LLM models for specific applications
Develop and integrate Gen AI models into various applicationsOptimize models for performance, scalability, and efficiencyDeploy models into production environmentsApplications and Use Cases
Identify and develop solutions using LLMs and Gen AI for real-world challenges
Collaborate with cross-functional teams (e.g., engineers, product managers) to integrate LLM/Gen AI solutionsDesign and conduct proof-of-concept (POC) projects to demonstrate feasibility
Minimum Qualifications
Masters degree/PhD in Computer Science & Data Science/AI ML or a related technical field or equivalent practical experience.
Experience with LLM/Gen AI frameworks, libraries like LangChain and toolsUnderstanding of machine learning concepts and best practicesProgramming experience with PythonFamiliarity with Applied AI use cases and solutionsExcellent communication and collaboration skillsExperience with deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus.
This is a rapidly evolving field, so the specific requirements may vary. But if you're passionate about AI and eager to apply it to solve real problems, then an LLM Applied AI & Gen AI role could be a great fit for you.
Job Type: Contractual / Temporary
Contract length: 12 months
Benefits:
Schedule:
Work Location: In person
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