LLM-Driven Personalization ML Engineer (RAG)

Qloo; New York (NY); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Retirement plan

Paid time off

Flexible work arrangements

Job summary

A technology company is looking for a Machine Learning Engineer in New York, NY. The role involves designing and deploying machine learning models that interface with large language models and structured data. The ideal candidate will have strong Python skills, experience with LLMs, and a background in deploying ML systems. The company offers a flexible work environment, competitive salary, health insurance, and benefits, ensuring a balance between work and personal life.

Qualifications

• Strong experience in Python and machine learning frameworks.
• Experience working with large language models, APIs, and/or open-source models.
• Familiarity with retrieval systems, embeddings, and recommendation systems.

Responsibilities

• Design, build, and deploy ML models and systems that power personalization.
• Develop LLM-powered features and integrate them with structured entities.
• Collaborate with Data Engineering to leverage large-scale datasets.

Skills

Strong experience in Python

Machine learning frameworks (e.g., PyTorch, CUDA)

Experience with large language models (LLMs)

Familiarity with retrieval systems and recommendation systems

Experience building and deploying ML systems

Solid understanding of data pipelines (Airflow)

Experience with AWS or similar cloud platforms

Strong problem-solving skills

Experience in a startup or fast-paced environment

Job description

A technology company is looking for a Machine Learning Engineer in New York, NY. The role involves designing and deploying machine learning models that interface with large language models and structured data. The ideal candidate will have strong Python skills, experience with LLMs, and a background in deploying ML systems. The company offers a flexible work environment, competitive salary, health insurance, and benefits, ensuring a balance between work and personal life.