Senior Machine Learning Engineer

Job Title:

Location:

Experience:

Employment Type:

About the Role:

Principal Machine Learning Engineer

Key Responsibilities:

• Architect and implement

  end-to-end multimodal RAG pipelines

  , integrating text, image, and other data modalities.
• Apply

  MLOps best practices

  for model deployment, monitoring, and continuous improvement using

  AWS AI services

  .
• Design and optimize

  vector databases

  and

  embedding retrieval mechanisms

  for large-scale systems.
• Lead fine-tuning and optimization of

  Large Language Models (LLMs)

  using advanced techniques like

  LoRA, QLoRA, and RLHF

  .
• Collaborate with cross-functional teams to integrate ML systems into production environments.
• Research and prototype new

  vision-language models

  and

  multimodal architectures

  .
• Drive

  scalable deployment strategies

  for open-source LLMs and manage continuous performance optimization.
• Mentor junior engineers and contribute to the team’s overall technical direction.

Required Skills & Qualifications:

• 5+ years

  of experience in

  Machine Learning, Computer Vision, NLP, or related fields

  .
• Strong understanding of

  multimodal learning

  and

  vision-language models

  .
• Proven experience building and deploying

  RAG systems

  and managing

  vector databases

  .
• In-depth knowledge of

  PyTorch

  ,

  Transformers

  , and

  modern ML frameworks

  .
• Proficiency in

  NLP

  ,

  LLM fine-tuning

  , and

  model optimization

  .
• Hands-on experience with

  AWS AI/ML services

  , including model deployment and lifecycle management.
• Familiarity with

  open-source LLM architectures

  (e.g., LLaMA, Falcon, Mistral, etc.).
• Excellent problem-solving, communication, and leadership skills.

Preferred Qualifications:

• Experience with

  multi-cloud or hybrid AI infrastructure

  .
• Contributions to

  open-source ML or LLM frameworks

  .
• Advanced degree (Master’s or Ph.D.) in

  Computer Science, Machine Learning, or related disciplines

  .