Quadrant Technologies - LLM Engineer - Python (9-12 yrs)

Job Description :

Key Responsibilities :

- Design and implement robust agentic frameworks to enable intelligent task automation, decision-making, and seamless integration into enterprise systems.

- Develop scalable RAG pipelines to enhance model retrieval efficiency, ensuring precise and contextually relevant outputs across diverse applications.

- LLM Fine-Tuning : Fine-tune and customize large language models (LLMs) like GPT-4, BERT, or similar for domain-specific tasks and improve performance for specialized use cases.

- Deploy machine learning models in production environments and continuously optimize for scalability, latency, and accuracy.

- Write high-quality, efficient, and maintainable Python code for machine learning model development, deployment, and system integration.

- Monitor the health and performance of deployed systems, identify issues, and implement solutions to maintain reliability and accuracy.

- Work with data scientists, software engineers, and product teams to ensure alignment with business goals and deliver impactful solutions.

- Stay at the forefront of AI advancements, contributing to research and experimentation with emerging technologies and methodologies.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields.

- Demonstrated experience in developing and implementing agentic frameworks and RAG pipelines.

- Strong proficiency in Python programming, with expertise in ML/DL libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.

- Proven ability to fine-tune pre-trained LLMs (e., GPT, BERT) for specific applications.

- In-depth knowledge of NLP techniques, machine learning algorithms, and deep learning architectures.

- Familiarity with distributed systems, cloud platforms (AWS, Azure, GCP), and container orchestration tools like Docker and Kubernetes.

- Knowledge of vector databases (e., Pinecone, Milvus, or Weaviate) and search frameworks for efficient data retrieval.

Desired Skills :

- Experience in designing and deploying RESTful APIs for ML model serving.

- Hands-on experience with DevOps tools like Jenkins, Ansible, Terraform, or CI/CD pipelines for automated deployments.

- Knowledge of graph-based data processing and integration techniques.

- Familiarity with transformer-based architectures like BERT, RoBERTa, T5, and GPT series.

- Strong analytical and problem-solving skills, with attention to detail.

- Exceptional communication skills to engage with technical and non-technical stakeholders.