Senior AI Model Engineer
3 days ago
Job Title: Senior AI Model Engineer - Large Language Models
About Us: Jones RecruitZo is a leading recruitment agency specializing in AI and machine learning talent.
Salary: ₹25,00,000 - ₹40,00,000 per annum, depending on experience.
Job Description:
We are seeking an experienced AI Model Engineer to join our team. As a key member of our AI engineering group, you will be responsible for designing, developing, and deploying large language models (LLMs) and generative AI solutions.
Main Responsibilities:
- Implement and customize LLMs and generative AI use cases in real-world scenarios.
- Research, design, and develop deep learning algorithms and tools for specific project needs.
- Transform complex data science prototypes into functional machine learning solutions.
- Build, optimize, and train classifiers and other machine learning models.
- Develop and deploy scalable, reliable, and accurate machine learning applications.
- Perform statistical analysis and fine-tune system parameters for optimal performance.
- Extend and customize existing machine learning libraries and frameworks.
- Work collaboratively with data scientists and project managers to enhance performance and efficiency.
- Manage end-to-end model deployment on AWS cloud, ensuring seamless integration and functionality.
- Utilize frameworks like LangChain, LlamaIndex, DSPy, and FastAPI for efficient implementation.
Requirements:
- Proven experience in LLM/generative AI use case implementation.
- Expertise in deep learning techniques and frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in prompt engineering and RAG techniques.
- Hands-on experience with LangChain, LlamaIndex, and DSPy frameworks.
- Strong understanding of model deployment and management on AWS Cloud.
- Familiarity with API development using FastAPI.
- Experience in extending and customizing machine learning and deep learning frameworks.
- Strong analytical skills for statistical analysis and system parameter tuning.
PREFERRED QUALIFICATIONS:
- Knowledge of advanced Generative AI models and tools.
- Experience in MLOps for model lifecycle management.
- Familiarity with distributed computing and parallel data processing.
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