Senior AI/ML Full Stack Engineer

Posted 2 hours ago

Worldwide

Needs to hire 2 Freelancers
Summary

Job Description: We are seeking a highly skilled AI/ML Full Stack Engineer to join our growing technical consulting and recruitment initiative. We collaborate with US-based clients to deliver enterprise-grade AI solutions, and we need a strong communicator who is fluent in English. Requirements: Strong experience as a Full Stack Engineer with AI/ML focus Hands-on experience with: Python (NumPy, Pandas, PyTorch or TensorFlow) LLM frameworks (LangChain, LlamaIndex, OpenAI APIs) Vector databases (Pinecone, FAISS, Weaviate) Frontend frameworks (React, Next.js, TypeScript) Experience building end-to-end AI applications (UI → API → Model → Data) Knowledge of RAG pipelines, embeddings, and model evaluation Experience with REST/GraphQL APIs and microservices architecture Cloud experience (AWS, Azure, or GCP) Strong communication skills with fluent English and professional video presence Availability during US EST business hours (9 AM – 5 PM) Nice to Have: Experience with MLOps (MLflow, Kubeflow, Docker, Kubernetes, CI/CD) Experience building AI SaaS products or internal platforms Prior experience in client-facing or technical interview roles Why Join Us: Work on real-world AI applications at scale Own end-to-end system design (frontend to AI models) Engage directly in client-facing technical strategy Opportunity for long-term, high-impact collaboration

  • More than 30 hrs/week
    Hourly
  • 6+ months
    Duration
  • Expert
    Experience Level
  • $30.00

    -

    $40.00

    Hourly
  • Remote Job
  • Ongoing project
    Project Type

Contract-to-hire opportunity

This lets talent know that this job could become full time.
Learn more
Skills and Expertise
Mandatory skills
Machine Learning
Activity on this job
  • Proposals:20 to 50
  • Interviewing:
    0
  • Invites sent:
    0
  • Unanswered invites:
    0
About the client
Member since Feb 7, 2026
  • SRB
    Belgrade11:55 AM
  • $375 total spent
    3 hires, 1 active
  • 56 hours

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