Key Responsibilities
Data & Database Architecture
Performance & Operations
Requirements
Preferred Qualifications
Soft Skills
What We Offer
#J-18808-Ljbffr
or continue with email
- Build end-to-end RAG (Retrieval-Augmented Generation) pipelines for context-aware AI responses.
- Implement and fine-tune vLLM for efficient inference of large language models (LLMs).
- Collaborate with ML engineers to deploy transformer models (e.g., BERT, GPT variants) and vector databases.
Data & Database Architecture
- Architect and optimize graph database systems (Neo4j) to model project knowledge networks and relationships.
- Develop Python-based microservices for data ingestion, processing, and API integrations (FastAPI, Flask).
Performance & Operations
- Monitor system performance, conduct A/B tests, and ensure low-latency responses in production.
- Ensure scalability and efficiency of AI systems.
Requirements
- Proficiency in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face Transformers).
- Hands-on experience with graph databases, especially Neo4j (Cypher queries, graph algorithms).
- Demonstrated work on RAG pipelines (retrieval, reranking, generation) using frameworks like LangChain or LlamaIndex.
- Experience with vLLM or similar LLM optimization tools (quantization, distributed inference).
- Knowledge of vector databases (e.g., FAISS, Pinecone) and embedding techniques.
- Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
Preferred Qualifications
- Strong experience with FastAPI or Flask for building high-performance APIs.
- Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow).
- Contributions to open-source AI/ML projects.
- Experience in performance tuning and A/B testing for AI systems in a production environment.
Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication and team collaboration abilities.
- Self-motivated with the ability to work independently and as part of a team.
What We Offer
- Competitive salary and performance-based bonuses.
- Flexible working hours with remote work options.
- Opportunities for professional development and skill enhancement.
- Collaborative and inclusive work environment.
- Paid sick time
- Paid time off
- Provident Fund
- Performance bonus
- Yearly bonus
#J-18808-Ljbffr
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
Show more